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NomyParts open data

get_company

Read-only

A manufacturer: description, country, website, certifications and its products.

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_company"
  }
}

Input Schema

NameRequiredDescriptionDefault
idYesManufacturer id (manufacturerId of a product).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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 by structured data. The description adds value by listing what comes back (description, country, website, certifications, products), which matters because there is no output schema. It does not disclose behavior for an unknown id or how the embedded products are represented.

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 compact sentence fragment with zero filler. It is slightly less scannable than it could be because the return fields lead and the verb is absent, but nothing is wasted.

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

Completeness3/5

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

For a simple one-parameter read tool this is close to adequate: annotations cover safety and the field list partially substitutes for a missing output schema. It still leaves the return shape of the embedded 'products' and error behavior for an invalid id unspecified.

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 coverage is 100% and the schema already explains that id is the manufacturerId of a product. The description adds no additional meaning about format, lookup source, or failure modes, so the baseline of 3 for a fully documented single parameter applies.

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

Purpose3/5

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

The description identifies the resource as a manufacturer and enumerates the fields it returns, which usefully disambiguates the vague name 'get_company'. However, it never states an action verb ('retrieve/fetch') and reads as a data listing rather than a tool purpose, so an agent must infer that it fetches a single manufacturer by id.

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 when-to-use guidance, no mention of prerequisites, and no routing to or away from siblings such as get_product. The only implicit hint is the phrase 'products', which slightly suggests the relationship to product-centric tools but never states it.

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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