ThrustLab

Search the component database

search_components

Read-onlyIdempotent

Find motors, propellers or batteries in the ThrustLab database.

component_type is "motor", "propeller" or "battery". query is a case-insensitive substring of the part name or its maker ("APC", "T-Motor", "13x6.5"). The maker sits under spec.brand for motors and batteries and under spec.type for propellers. limit is capped at 200 rows a page; when has_more is true, pass the returned next_offset as offset to read the next page. Each row carries its datasheet values, its source and the CC BY 4.0 attribution line. Pass a returned id to simulate_powertrain.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "component_type": "<component_type>"
    },
    "name": "search_components"
  }
}

Input Schema

Name	Required	Default
`limit`	No
`query`	No
`offset`	No
`sort_by`	No	name
`sort_order`	No	asc
`component_type`	Yes

Output Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

First observedOct 2, 2026

TDQS

A4.4/5.0

Behavior4/5

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

Annotations already cover read-only, idempotent, non-destructive and closed-world behavior, so the description's added value is the pagination contract (limit capped at 200 rows/page, has_more/next_offset loop) and row payload (datasheet values, source, CC BY 4.0 attribution) — genuinely useful context beyond the annotations. It stops short of noting rate limits or query cost.

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?

Dense and front-loaded: purpose first, then the two most-used parameters, then pagination, then follow-up routing. Every sentence carries information; nothing restates the name or 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?

Given an output schema exists and annotations cover the safety profile, the description supplies everything needed to call correctly except sort_by/sort_order semantics. For a 6-param, 0%-coverage tool that is nearly complete.

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?

With 0% schema description coverage the description must carry the load, and it does for most params: component_type enum values, query as a case-insensitive substring of part name or maker, where the maker lives (spec.brand vs spec.type), and the limit/offset relationship. sort_by and sort_order remain undocumented in both schema and description.

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?

Starts with a specific verb+resource ('Find motors, propellers or batteries in the ThrustLab database') and implicitly distinguishes itself from sibling get_component, which fetches a single item by id. An agent can tell search from retrieval without opening the schema.

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

Usage Guidelines4/5

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

Explicitly routes the agent onward: pass a returned id to simulate_powertrain, and loop with next_offset while has_more is true. It never states when to prefer get_component over this search, so the retrieval-vs-search boundary is left implicit.

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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