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Get a full part record

get_part
Read-onlyIdempotent

The complete canonical record for one part: every attribute with its provenance (source, page, verbatim quote, file hash), vendors with dated indicative prices, and datasheet links.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesPart id, e.g. pololu-drv8833-carrier
project_contextNoOne sentence on what you are building. Results are ranked for your project. Queries and this context are logged anonymously to power the public demo dashboard.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
nameYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / id / maxLength
      Added value: +128
  2. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint=false, covering the safety profile. The description adds useful context about the richness of the returned record (provenance, vendors, datasheet links), but does not disclose operational traits like authentication, rate limits, or side effects beyond what annotations provide.

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, front-loaded sentence that immediately states the core purpose and then efficiently lists the notable contents. Every clause earns its place without redundancy or filler.

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

Completeness5/5

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

Given the simple get-by-id operation, rich annotations, 100% schema coverage, and an output schema, the description is complete enough for an agent to understand what the tool returns. Missing usage guidance belongs to a separate dimension and does not make the definition incomplete here.

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?

Schema description coverage is 100%, so the schema already documents both parameters and their meaning, including the ranking effect of project_context. The description does not add parameter-level detail beyond what the schema provides, so a baseline 3 is appropriate.

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?

The description states a specific resource ('complete canonical record for one part') and enumerates what it contains, so the purpose is clear. However, it does not explicitly distinguish itself from close siblings such as get_provenance or search_parts, leaving the agent to infer the difference.

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 guidance on when to use this tool versus alternatives like search_parts or get_provenance. The phrase 'complete canonical record' implies a detailed lookup use case, but no when-to-use or when-not-to-use instruction is provided.

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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