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Get a company

get_company
Read-only

Get one company by its slug, with the brands that it owns. The result is the JSON twin at /companies/{slug}.json.

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": {
      "slug": "<slug>"
    },
    "name": "get_company"
  }
}

Input Schema

NameRequiredDescriptionDefault
slugYesA slug: lower-case letters, digits and hyphens, for example `acme-foods`.

Output Schema

NameRequiredDescriptionDefault
slugYes
brandsYes
countryYes
websiteYes
updated_atYes
descriptionYes
canonical_nameYes
organization_typeYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds two useful facts beyond that — that brands are embedded in the result and that it mirrors the /companies/{slug}.json representation — but says nothing about error behavior for an unknown slug or any rate limits.

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?

Two short sentences, zero filler, with the core action front-loaded and the response payload described immediately after. Nothing needs to be trimmed.

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?

An output schema exists, so return-value detail is not required. The description covers the key expectation that brands come back with the company, and the safety profile is handled by annotations; only the unknown-slug failure mode is left unstated.

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?

One parameter with 100% schema description coverage, including the pattern and an example, so the schema fully documents it. The description only restates 'by its slug', adding no format guidance beyond what the schema already supplies; baseline 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?

States a specific verb and resource ('Get one company by its slug') and adds scope that the name does not convey: the response includes the owned brands. This distinguishes it from get_brand and find_brands, though it never names those siblings explicitly.

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 statement of when to use this tool versus get_brand, find_brands, or get_relationship. The lookup intent is implied by the verb, but no conditions, prerequisites, or alternatives are given.

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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