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apex_search_variants

Read-onlyIdempotent

Search vehicle variants by make, model, year, fuel/drive type, body, or free text.

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": "apex_search_variants"
  }
}

Input Schema

NameRequiredDescriptionDefault
qNo
brandNo
limitNo
modelNo
cursorNo
marketNo
model_yearNo
powertrainNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.7/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and openWorldHint=false, so the safety profile is covered. The description adds no behavioral context beyond that: nothing about pagination via cursor/limit, ordering, empty-query behavior, or result volume caps despite 8 optional parameters.

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

Conciseness4/5

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

A single front-loaded sentence with no filler, and the searchable facets are listed immediately. It is efficient, though the extreme brevity for an 8-parameter tool leaves little room for the routing and pagination cues an agent needs.

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

Completeness2/5

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

For an 8-parameter, fully undocumented-schema search tool with no output schema, the description is thin. It omits pagination (limit/cursor), the market scoping parameter, and any note on result shape, while advertising facets ('body', 'drive type') the schema does not accept.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must carry parameter meaning, and it only partially does. It names make/model/year/fuel which roughly map to brand, model, model_year, powertrain, plus free text to q, but 'body' and 'drive type' do not correspond to any schema property, and limit, cursor, and market are never mentioned.

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

Purpose4/5

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

States a specific verb (search) and resource (vehicle variants) and enumerates the facets it can be searched by, so an agent knows immediately what the tool returns. It does not differentiate itself from the sibling apex_get_variant, leaving the lookup-vs-search distinction to be inferred.

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?

There is no explicit when-to-use, when-not-to-use, or alternative guidance. The only signal is the implied 'search to discover variants by attributes', with nothing telling the agent how this relates to apex_get_variant or what to do when no filters are supplied.

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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