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NomyParts open data

get_product

Read-only

The full record of a product: manufacturer, category, every specification with its unit and the source page of each value, and its profile URL.

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": {
      "id": "<id>"
    },
    "name": "get_product"
  }
}

Input Schema

NameRequiredDescriptionDefault
idYesProduct id, as returned by search_components.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description earns credit beyond that by disclosing the return shape in detail — including per-value provenance ('the source page of each value') — which matters because no output schema exists. It omits failure behavior when an id is unknown, which is why it is not a 5.

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?

One sentence, front-loaded with the main claim ('the full record of a product') and then enumerating contents. No wasted wording, though the list-within-fragment construction is slightly dense.

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?

With no output schema, the description carries the burden of explaining return values and does so concretely, including provenance metadata. A one-parameter read tool does not need much more, though a note on not-found behavior would close the remaining gap.

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% and the single parameter 'id' is already documented with its origin. The description adds no meaning beyond the schema for that parameter, so the baseline of 3 applies.

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 names the specific resource (a product) and its scope of return: the 'full record' with manufacturer, category, specifications and profile URL. That distinguishes it from a search/list tool like search_components or search-style siblings, though it never names an alternative explicitly and phrased as a noun fragment rather than a verb phrase.

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?

No when-to-use guidance appears in the description. The workflow cue ('Product id, as returned by search_components') lives in the input schema, not the description, and nothing tells the agent when to prefer this over compare_products or search_components for lookups.

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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