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io.github.sergioprats/pitwall-mcp

io.github.sergioprats/pitwall-mcp

by sergioprats
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Datos basicos del vehiculo

get_vehicle_basic_data
Read-onlyIdempotent

Get BMW vehicle basic data by VIN, including model, series, engine, build date, equipment list, and production step. Cached responses support maintenance and service planning.

Instructions

Modelo, serie, motor, fecha de construccion, lista de equipamiento y puStep. Fuente: GET /customers/vehicles/{vin}/basicData. Cache de 30 dias.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_vehicle_basic_data"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare the tool as read-only, idempotent, and non-destructive. The description adds meaningful context beyond those annotations by specifying the API source endpoint and the 30-day cache, which informs the agent about data freshness expectations. No contradiction with annotations exists.

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?

The description is a single concise sentence that front-loads the data contents and immediately follows with the source and caching behavior. Every element adds value without repetition or filler.

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?

For a no-parameter read-only tool with an output schema and robust annotations, the description is largely sufficient. It covers the data contents, the source endpoint, and the cache duration. Minor ambiguity remains around the meaning of 'puStep', but this does not significantly impair tool selection or invocation.

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

Parameters4/5

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

The input schema has zero parameters, so the baseline is 4. The description adds the endpoint pattern with {vin}, clarifying that the data is VIN-scoped even though no CLI parameters are exposed. There are no parameter semantics to document further.

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?

The description clearly enumerates the specific contents returned by the tool: model, series, engine, construction date, equipment list, and 'puStep'. It identifies the source endpoint, making the resource and scope unambiguous, and the listed fields distinguish it from sibling vehicle tools like get_vehicle_status or get_telematic_data.

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

Usage Guidelines2/5

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

The description implies this tool is for fetching basic vehicle data, but it provides no explicit guidance about when to choose it over sibling tools such as get_vehicle_status, get_maintenance_summary, or get_fault_memory. No alternatives or exclusion criteria are mentioned.

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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