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Get AI Log Tuner transcript

get_ai_log_tuner_transcript
Read-only

Read the ordered messages and saved analysis summaries for one AI Log Tuner conversation owned by the connected TuneWorks user.

Input Schema

NameRequiredDescriptionDefault
logIdYesStable TuneWorks log ID for the requested conversation.

Output Schema

NameRequiredDescriptionDefault
logsNo
toolYesTuneWorks MCP tool name that produced this result.
userNo
countNo
listsNo
setupsNo
statusYesStable result status such as ok, created, updated, sent, auth_required, or confirmation_required.
messageNo
outcomeNoOptional domain outcome for an otherwise successful read.
sessionsNo
vehiclesNo
snapshotsNo
activationNo
maintenanceNo
modificationsNo
requestedVehicleIdNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed8 schema fields changed
    • addedOutput schema / properties / activation
      Added value: +{
      +  "additionalProperties": false,
      +  "properties": {
      +    "goal": {
      +      "const": "optimize_vehicle",
      +      "type": "string"
      +    },
      +    "missingData": {
      +      "items": {
      +        "enum": [
      +          "vehicle",
      +          "accessible_vehicle_id",
      +          "baseline_setup",
      +          "driving_session",
      +          "vehicle_build_state",
      +          "vehicle_logs",
      +          "structured_vehicle_modifications"
      +        ],
      +        "type": "string"
      +      },
      +      "type": "array",
      +      "uniqueItems": true
      +    },
      +    "nextActions": {
      +      "items": {
      +        "oneOf": [
      +          {
      +            "additionalProperties": false,
      +            "properties": {
      +              "arguments": {
      +                "additionalProperties": false,
      +                "properties": {
      +                  "vehicleId": {
      +                    "type": "string"
      +                  }
      +                },
      +                "required": [
      +                  "vehicleId"
      +                ],
      +                "type": "object"
      +              },
      +              "optional": {
      +                "type": "boolean"
      +              },
      +              "reason": {
      +                "type": "string"
      +              },
      +              "requiredInputs": {
      +                "items": {
      +                  "enum": [
      +                    "year",
      +                    "make",
      +                    "model",
      +                    "purpose",
      +                    "displacement",
      +                    "engineType",
      +                    "aspiration",
      +                    "cylindersOrRotors",
      +                    "fuel",
      +                    "fuelRating",
      +                    "setupName",
      +                    "setupDate",
      +                    "sessionDate",
      +                    "sessionFormat",
      +                    "modifications",
      +                    "category",
      +                    "system",
      +                    "status",
      +                    "brand",
      +                    "partName"
      +                  ],
      +                  "type": "string"
      +                },
      +                "type": "array",
      +                "uniqueItems": true
      +              },
      +              "tool": {
      +                "enum": [
      +                  "create_vehicle",
      +                  "list_vehicles",
      +                  "get_vehicle_context",
      +                  "create_setup",
      +                  "create_session",
      +                  "update_vehicle",
      +                  "create_vehicle_modification"
      +                ],
      +                "type": "string"
      +              },
      +              "type": {
      +                "const": "tool",
      +                "type": "string"
      +              }
      +            },
      +            "required": [
      +              "type",
      +              "tool",
      +              "reason"
      +            ],
      +            "type": "object"
      +          },
      +          {
      +            "additionalProperties": false,
      +            "properties": {
      +              "action": {
      +                "enum": [
      +                  "select_vehicle",
      +                  "optimize_vehicle"
      +                ],
      +                "type": "string"
      +              },
      +              "optional": {
      +                "type": "boolean"
      +              },
      +              "reason": {
      +                "type": "string"
      +              },
      +              "type": {
      +                "const": "assistant",
      +                "type": "string"
      +              }
      +            },
      +            "required": [
      +              "type",
      +              "action",
      +              "reason"
      +            ],
      +            "type": "object"
      +          }
      +        ]
      +      },
      +      "type": "array"
      +    },
      +    "recommendedData": {
      +      "items": {
      +        "enum": [
      +          "vehicle",
      +          "accessible_vehicle_id",
      +          "baseline_setup",
      +          "driving_session",
      +          "vehicle_build_state",
      +          "vehicle_logs",
      +          "structured_vehicle_modifications"
      +        ],
      +        "type": "string"
      +      },
      +      "type": "array",
      +      "uniqueItems": true
      +    },
      +    "requestedVehicleId": {
      +      "type": "string"
      +    },
      +    "stage": {
      +      "enum": [
      +        "empty_garage",
      +        "select_vehicle",
      +        "vehicle_selected",
      +        "vehicle_created",
      +        "collecting_baseline_data",
      +        "ready_to_optimize"
      +      ],
      +      "type": "string"
      +    },
      +    "vehicleId": {
      +      "type": "string"
      +    }
      +  },
      +  "required": [
      +    "goal",
      +    "stage",
      +    "missingData",
      +    "recommendedData",
      +    "nextActions"
      +  ],
      +  "type": "object"
      +}
    • addedOutput schema / properties / logs
      Added value: +{
      +  "items": {
      +    "type": "object"
      +  },
      +  "type": "array"
      +}
    • addedOutput schema / properties / message
      Added value: +{
      +  "type": "string"
      +}
    • addedOutput schema / properties / modifications
      Added value: +{
      +  "items": {
      +    "type": "object"
      +  },
      +  "type": "array"
      +}
    • addedOutput schema / properties / outcome
      Added value: +{
      +  "description": "Optional domain outcome for an otherwise successful read.",
      +  "enum": [
      +    "no_vehicles",
      +    "vehicle_not_found",
      +    "vehicle_selection_required",
      +    "no_data"
      +  ],
      +  "type": "string"
      +}
    • addedOutput schema / properties / requestedVehicleId
      Added value: +{
      +  "type": "string"
      +}
    • addedOutput schema / properties / snapshots
      Added value: +{
      +  "items": {
      +    "type": "object"
      +  },
      +  "type": "array"
      +}
    • changedOutput schema / properties / status / description
      Previous value: -"Result status such as ok, created, updated, sent, auth_required, or confirmation_required."New value: +"Stable result status such as ok, created, updated, sent, auth_required, or confirmation_required."
  2. Added

TDQS

A4/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnly, non-destructive, closed-world behavior, so the description's added value is the ownership constraint — access is limited to conversations owned by the connected TuneWorks user — which is real authorization context the annotations do not express. It also notes the messages are returned in order. It stops short of saying what happens for a non-owned or unknown logId.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

One sentence, front-loaded with the verb and resource, with the scoping qualifier (one conversation, connected user) placed where it matters. Nothing is padded or repeated from the title.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Read-only, single required parameter, and an output schema that already documents the returned messages and summaries, so the description needn't explain return values. The only meaningful gap is behavior on an invalid or unowned logId, which no structured field covers.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is a single required parameter with 100% schema description coverage ('Stable TuneWorks log ID for the requested conversation'), so the schema already does the work. The description adds no format, sourcing, or example detail about logId, so baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Read), specific resources (ordered messages and saved analysis summaries), and a precise scope (one AI Log Tuner conversation owned by the connected user). The word 'one' plus the resource names make it clearly distinct from the listing sibling list_ai_log_tuner_transcripts and from get_ai_race_engineer_transcript.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied: an agent can infer that a logId from list_ai_log_tuner_transcripts must be obtained first, but the description never says when to use this versus that listing tool or versus get_ai_race_engineer_transcript. No explicit exclusions or prerequisites are given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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