tool-rendering.json

{
  "_meta": {
    "description": "D6 fixtures for ms-agent-python / tool-rendering",
    "sourceFile": "d5-all.json",
    "created": "2026-05-21",
    "copiedFrom": "langgraph-python"
  },
  "fixtures": [
    {
      "_comment": "tool-rendering pill: Chain tools \u2014 follow-up after all 3 tools ran. Matches whichever of the 3 chain-tools tool_call_ids appears last in the request (LangGraph's ToolNode preserves tool_calls order, so roll_d20 is typically last; we register all 3 for safety). MUST come before the toolCalls-emitting fixture below so iteration 2 of the chain-tools loop hits this branch instead of re-emitting.",
      "match": {
        "userMessage": "Chain a few tools in this single turn",
        "toolCallId": "call_tr_chain_roll_001",
        "context": "ms-agent-python"
      },
      "response": {
        "content": "Done \u2014 Tokyo is sunny, three flights found, and the d20 came up 11."
      }
    },
    {
      "match": {
        "userMessage": "Chain a few tools in this single turn",
        "toolCallId": "call_tr_chain_flights_001",
        "context": "ms-agent-python"
      },
      "response": {
        "content": "Done \u2014 Tokyo is sunny, three flights found, and the d20 came up 11."
      }
    },
    {
      "match": {
        "userMessage": "Chain a few tools in this single turn",
        "toolCallId": "call_tr_chain_weather_001",
        "context": "ms-agent-python"
      },
      "response": {
        "content": "Done \u2014 Tokyo is sunny, three flights found, and the d20 came up 11."
      }
    },
    {
      "_comment": "tool-rendering pill: Chain tools \u2014 emit 3 tool calls in one assistant turn (get_weather Tokyo + search_flights SFO->Tokyo + roll_d20=11). MUST appear before the bare 'weather in Tokyo' fixture below; substring match would otherwise leak into this prompt. No hasToolResult / turnIndex gate: in multi-pill demo sessions prior clicks leave tool results AND additional user turns in the thread, which previously caused this fixture to be skipped (turnIndex no longer 0 after sibling pills, hasToolResult breaks once prior pills emitted tool results) \u2014 the chain-tools toolCallId fixtures above already eat iteration 2 via last-message tool_call_id gating, so removing the turnIndex gate is safe.",
      "match": {
        "userMessage": "Chain a few tools in this single turn",
        "context": "ms-agent-python"
      },
      "response": {
        "toolCalls": [
          {
            "id": "call_tr_chain_weather_001",
            "name": "get_weather",
            "arguments": "{\"location\":\"Tokyo\"}"
          },
          {
            "id": "call_tr_chain_flights_001",
            "name": "search_flights",
            "arguments": "{\"origin\":\"SFO\",\"destination\":\"Tokyo\"}"
          },
          {
            "id": "call_tr_chain_roll_001",
            "name": "roll_d20",
            "arguments": "{\"value\":11}"
          }
        ]
      }
    },
    {
      "_comment": "tool-rendering pill: Weather in SF \u2014 follow-up content after get_weather tool ran. MUST come before the tool-emitting fixture below (first-match-wins) so iteration 2 of the loop hits this branch instead of re-emitting. toolCallId chain keeps the fixture stateless across multi-pill thread history (hasToolResult breaks when a prior pill left tool results in the thread).",
      "match": {
        "userMessage": "What's the weather in San Francisco?",
        "toolCallId": "call_tr_weather_sf_001",
        "context": "ms-agent-python"
      },
      "response": {
        "content": "San Francisco is currently 68\u00b0F and sunny with light winds."
      }
    },
    {
      "match": {
        "userMessage": "What's the weather in San Francisco?",
        "turnIndex": 0,
        "context": "ms-agent-python"
      },
      "response": {
        "toolCalls": [
          {
            "id": "call_tr_weather_sf_001",
            "name": "get_weather",
            "arguments": "{\"location\":\"San Francisco\"}"
          }
        ]
      }
    },
    {
      "_comment": "tool-rendering pill: Find flights \u2014 second leg (after search_flights tool result). MUST come BEFORE the first-leg fixture below \u2014 the matcher is first-match-wins, and the second leg is uniquely identified by `toolCallId` (last message is a tool with this id), so it cannot accidentally swallow the first-leg request (whose last message is the user prompt). Must also take precedence over the a2ui beautiful-chat fixture below (which uses the same tool name with non-flight-list args shape).",
      "match": {
        "userMessage": "Find flights from SFO to JFK.",
        "toolCallId": "call_tr_flights_sfo_jfk_001",
        "context": "ms-agent-python"
      },
      "response": {
        "content": "Three flights from SFO to JFK \u2014 United UA231 at 08:15 ($348), Delta DL412 at 11:20 ($312), and JetBlue B6722 at 17:05 ($289)."
      }
    },
    {
      "_comment": "tool-rendering pill: Stock price \u2014 follow-up content after get_stock_price tool ran. MUST come before the tool-emitting fixture below (first-match-wins) so iteration 2 of the loop hits this branch instead of re-emitting an infinite loop of tool calls.",
      "match": {
        "userMessage": "What's the current price of AAPL?",
        "toolCallId": "call_tr_stock_aapl_001",
        "context": "ms-agent-python"
      },
      "response": {
        "content": "AAPL is trading at $338.37, down 2.96% on the day."
      }
    },
    {
      "_comment": "AAPL \u2014 first leg: emit get_stock_price tool call. turnIndex:0 gate REMOVED \u2014 the D5 tool-rendering-custom-catchall probe runs 'weather in Tokyo' first then sends 'What's the current price of AAPL?', so the AAPL leg fires at turnIndex>=2 (multi-pill thread). Replaced with hasToolResult:false: matches when the last message is a user prompt (not a tool result), which keeps the first-leg fixture from re-firing after the follow-up content already lands. The toolCallId follow-up fixture above wins on iteration 2 (last message is tool with id call_tr_stock_aapl_001).",
      "match": {
        "userMessage": "What's the current price of AAPL?",
        "hasToolResult": false,
        "context": "ms-agent-python"
      },
      "response": {
        "toolCalls": [
          {
            "id": "call_tr_stock_aapl_001",
            "name": "get_stock_price",
            "arguments": "{\"ticker\":\"AAPL\",\"price_usd\":338.37,\"change_pct\":-2.96}"
          }
        ]
      }
    },
    {
      "_comment": "tool-rendering pill: Roll a d20 \u2014 exactly 5 sequential roll_d20 calls returning [7, 14, 3, 19, 20]. Chained by toolCallId so the sequence is stateless across thread history (turnIndex/hasToolResult break in multi-pill demo sessions where prior clicks leave assistant/tool messages in the thread). Specific-toolCallId fixtures MUST come before the userMessage-only fixture below; first-match-wins.",
      "match": {
        "userMessage": "Roll a 20-sided die.",
        "toolCallId": "call_tr_d20_seq_001",
        "context": "ms-agent-python"
      },
      "response": {
        "toolCalls": [
          {
            "id": "call_tr_d20_seq_002",
            "name": "roll_d20",
            "arguments": "{\"value\":14}"
          }
        ]
      }
    },
    {
      "match": {
        "userMessage": "Roll a 20-sided die.",
        "toolCallId": "call_tr_d20_seq_002",
        "context": "ms-agent-python"
      },
      "response": {
        "toolCalls": [
          {
            "id": "call_tr_d20_seq_003",
            "name": "roll_d20",
            "arguments": "{\"value\":3}"
          }
        ]
      }
    },
    {
      "match": {
        "userMessage": "Roll a 20-sided die.",
        "toolCallId": "call_tr_d20_seq_003",
        "context": "ms-agent-python"
      },
      "response": {
        "toolCalls": [
          {
            "id": "call_tr_d20_seq_004",
            "name": "roll_d20",
            "arguments": "{\"value\":19}"
          }
        ]
      }
    },
    {
      "match": {
        "userMessage": "Roll a 20-sided die.",
        "toolCallId": "call_tr_d20_seq_004",
        "context": "ms-agent-python"
      },
      "response": {
        "toolCalls": [
          {
            "id": "call_tr_d20_seq_005",
            "name": "roll_d20",
            "arguments": "{\"value\":20}"
          }
        ]
      }
    },
    {
      "match": {
        "userMessage": "Roll a 20-sided die.",
        "toolCallId": "call_tr_d20_seq_005",
        "context": "ms-agent-python"
      },
      "response": {
        "content": "Rolled the d20 five times \u2014 landed on 20 on the final roll."
      }
    },
    {
      "_comment": "First roll. Matches the initial user prompt (no prior d20 tool result in this chain yet). Comes after the toolCallId-chained fixtures above so iterations 2-6 of the loop hit those first. turnIndex dropped: the multi-pill sequential e2e test clicks 'Find flights' first which leaves prior turns in the thread, so a new 'Roll a 20-sided die.' user message is no longer at turnIndex 0. The toolCallId-chained fixtures still take precedence for iterations 2-6 because their last-message gate (role=tool with the chained id) only matches mid-chain \u2014 this fixture only matches when last-message.role=user.",
      "match": {
        "userMessage": "Roll a 20-sided die.",
        "context": "ms-agent-python"
      },
      "response": {
        "toolCalls": [
          {
            "id": "call_tr_d20_seq_001",
            "name": "roll_d20",
            "arguments": "{\"value\":7}"
          }
        ]
      }
    },
    {
      "_comment": "Follow-up content after get_weather (or get-weather Mastra alias) ran for Tokyo. Keyed on the prior tool's id so it fires after iteration 1 regardless of thread history. Must come BEFORE the tool-emitting fixtures so iteration 2 hits this branch instead of re-emitting get_weather.",
      "match": {
        "userMessage": "weather in Tokyo",
        "toolCallId": "call_d5_get_weather_001",
        "context": "ms-agent-python"
      },
      "response": {
        "content": "Tokyo is 22\u00b0C and partly cloudy."
      }
    },
    {
      "match": {
        "userMessage": "weather in Tokyo",
        "toolName": "get_weather",
        "context": "ms-agent-python"
      },
      "response": {
        "toolCalls": [
          {
            "id": "call_d5_get_weather_001",
            "name": "get_weather",
            "arguments": "{\"location\":\"Tokyo\"}"
          }
        ],
        "reasoning": "The user asked about Tokyo weather. I'll call get_weather with location='Tokyo' to get the current conditions.",
        "content": "Looking up the weather in Tokyo for you."
      }
    },
    {
      "_comment": "Mastra registers the weather tool as get-weather (hyphen); duplicate for compat",
      "match": {
        "userMessage": "weather in Tokyo",
        "toolName": "get-weather",
        "context": "ms-agent-python"
      },
      "response": {
        "toolCalls": [
          {
            "id": "call_d5_get_weather_001",
            "name": "get-weather",
            "arguments": "{\"location\":\"Tokyo\"}"
          }
        ],
        "reasoning": "The user asked about Tokyo weather. I'll call get_weather with location='Tokyo' to get the current conditions.",
        "content": "Looking up the weather in Tokyo for you."
      }
    },
    {
      "_comment": "Final fallback when the agent has neither get_weather nor get-weather registered \u2014 return narrated content with no tool call. Comes last so the tool-emitting fixtures above win when the tool IS available.",
      "match": {
        "userMessage": "weather in Tokyo",
        "turnIndex": 0,
        "context": "ms-agent-python"
      },
      "response": {
        "content": "The weather in Tokyo is currently 22\u00b0C with partly cloudy skies and light easterly winds."
      }
    },
    {
      "match": {
        "userMessage": "AAPL",
        "toolCallId": "call_d5_get_stock_price_001",
        "context": "ms-agent-python"
      },
      "response": {
        "content": "AAPL is trading at $189.42, up 1.27% on the day. The card above shows the live ticker and the percentage change."
      }
    },
    {
      "_comment": "AAPL \u2014 first leg: emit get_stock_price tool call. turnIndex:0 gate REMOVED \u2014 the D5 tool-rendering-custom-catchall probe runs 'weather in Tokyo' first then sends 'What's the current price of AAPL?', so the AAPL leg fires at turnIndex>=2 (multi-pill thread). Replaced turnIndex:0 with hasToolResult:false: matches when the last message is a user prompt (not a tool result), which keeps the first-leg fixture from re-firing after the follow-up content already lands. The toolCallId follow-up fixture above wins on iteration 2 (last message is tool with id call_d5_get_stock_price_001).",
      "match": {
        "userMessage": "AAPL",
        "hasToolResult": false,
        "context": "ms-agent-python"
      },
      "response": {
        "toolCalls": [
          {
            "id": "call_d5_get_stock_price_001",
            "name": "get_stock_price",
            "arguments": "{\"ticker\":\"AAPL\"}"
          }
        ]
      }
    },
    {
      "match": {
        "userMessage": "d5 beautiful-chat probe: search flights from SFO to JFK",
        "hasToolResult": false,
        "context": "ms-agent-python"
      },
      "response": {
        "toolCalls": [
          {
            "id": "call_d5_bc_search_flights_001",
            "name": "search_flights",
            "arguments": "{\"flights\":[{\"airline\":\"United Airlines\",\"airlineLogo\":\"https://www.google.com/s2/favicons?domain=united.com&sz=128\",\"flightNumber\":\"UA123\",\"origin\":\"SFO\",\"destination\":\"JFK\",\"date\":\"Tue, Apr 15\",\"departureTime\":\"08:00\",\"arrivalTime\":\"16:30\",\"duration\":\"5h 30m\",\"status\":\"On Time\",\"price\":\"$349\"},{\"airline\":\"Delta\",\"airlineLogo\":\"https://www.google.com/s2/favicons?domain=delta.com&sz=128\",\"flightNumber\":\"DL456\",\"origin\":\"SFO\",\"destination\":\"JFK\",\"date\":\"Tue, Apr 15\",\"departureTime\":\"10:15\",\"arrivalTime\":\"18:45\",\"duration\":\"5h 30m\",\"status\":\"On Time\",\"price\":\"$289\"}]}"
          }
        ]
      }
    },
    {
      "match": {
        "userMessage": "d5 beautiful-chat probe: search flights from SFO to JFK",
        "hasToolResult": true,
        "context": "ms-agent-python"
      },
      "response": {
        "content": "Two flights shown above \u2014 United at $349 (08:00) and Delta at $289 (10:15), both on time."
      }
    },
    {
      "match": {
        "userMessage": "SFO to JFK",
        "toolCallId": "call_d5_display_flight_001",
        "context": "ms-agent-python"
      },
      "response": {
        "content": "Flight rendered. Tap 'Book flight' to confirm."
      }
    },
    {
      "match": {
        "userMessage": "SFO to JFK",
        "toolName": "display_flight",
        "context": "ms-agent-python"
      },
      "response": {
        "content": "Here is the SFO to JFK flight on United.",
        "toolCalls": [
          {
            "name": "display_flight",
            "arguments": {
              "origin": "SFO",
              "destination": "JFK",
              "airline": "United",
              "price": "$289"
            },
            "id": "call_d5_display_flight_001"
          }
        ]
      }
    },
    {
      "match": {
        "userMessage": "poem about autumn leaves",
        "toolCallId": "call_d5_write_document_poem_001",
        "context": "ms-agent-python"
      },
      "response": {
        "content": "Done \u2014 the poem has been written into the shared document state."
      }
    },
    {
      "match": {
        "userMessage": "poem about autumn leaves",
        "toolName": "write_document",
        "context": "ms-agent-python"
      },
      "response": {
        "content": "Streaming the poem now.",
        "toolCalls": [
          {
            "id": "call_d5_write_document_poem_001",
            "name": "write_document",
            "arguments": "{\"document\":\"Crimson and amber in slow descent, / each leaf a quiet ledger of summer spent. / The wind, a courier with nothing to say, / files them gently into the morning's gray. / Somewhere a kettle hums, and afternoons grow brief \u2014 / autumn keeps its books in vermilion and gold leaf.\"}"
          }
        ]
      }
    },
    {
      "match": {
        "userMessage": "polite email declining",
        "toolCallId": "call_d5_write_document_email_001",
        "context": "ms-agent-python"
      },
      "response": {
        "content": "Done \u2014 the decline-email draft has been written into the shared document state."
      }
    },
    {
      "match": {
        "userMessage": "polite email declining",
        "toolName": "write_document",
        "context": "ms-agent-python"
      },
      "response": {
        "content": "Drafting the email now.",
        "toolCalls": [
          {
            "id": "call_d5_write_document_email_001",
            "name": "write_document",
            "arguments": "{\"document\":\"Hi \u2014 thanks for sending the invite for Tuesday afternoon. Unfortunately I won't be able to make it this week. I'd love to find time later in the month if your schedule allows. In the meantime, feel free to send any pre-reads my way and I'll review them async so we don't lose momentum. Best, [name]\"}"
          }
        ]
      }
    },
    {
      "match": {
        "userMessage": "quantum computing for a curious teenager",
        "toolCallId": "call_d5_write_document_quantum_001",
        "context": "ms-agent-python"
      },
      "response": {
        "content": "Done \u2014 the quantum-computing explainer has been written into the shared document state."
      }
    },
    {
      "match": {
        "userMessage": "quantum computing for a curious teenager",
        "toolName": "write_document",
        "context": "ms-agent-python"
      },
      "response": {
        "content": "Streaming the explainer now.",
        "toolCalls": [
          {
            "id": "call_d5_write_document_quantum_001",
            "name": "write_document",
            "arguments": "{\"document\":\"A regular computer stores information in bits \u2014 tiny switches that are either on (1) or off (0). A quantum computer uses qubits, which can sit in a fuzzy superposition of both states at once until you check them. Stack many qubits together and they can explore lots of possibilities in parallel, which is why people are excited.\\n\\nThis doesn't make quantum computers faster at everything. They're great at problems with hidden structure \u2014 like factoring big numbers, simulating molecules, or searching certain databases \u2014 but useless for, say, opening Excel. Today's machines are noisy and small, so we mostly use them to test ideas rather than replace your laptop.\"}"
          }
        ]
      }
    }
  ]
}