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freehire

Read one employer

get_company
Read-only

Read what freehire holds about one employer by the slug a result carries: what they do, which industries they are in, where they are based, and how many postings they have open.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesthe employer's identifier, as carried by a result's company_slug

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesthe employer's page on freehire
nameYes
slugYesthe employer's identifier, to pass to get_company
taglineNo
open_jobsYeshow many postings this employer has open right now
hq_countryNoISO 3166-1 alpha-2 code
industriesNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. 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=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds that the returned data is a curated held record (activities, industries, location, open-posting count), which is modest added context for a read tool whose output schema carries the return contract.

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 action and resource, then the returned content. No filler, though the colon-list makes it slightly run-on where two shorter sentences would read cleaner.

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?

For a single-parameter read tool with an output schema and full annotation coverage, the definition gives what an agent needs: what it fetches, the key it needs, and the shape of the payload. Only the sibling routing and invalid-slug behavior are unaddressed.

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 is already documented in the schema as an identifier carried by a result's company_slug. The description restates that same meaning without adding format, casing, or validation detail, 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?

Specific verb-and-resource pair ('Read ... one employer') with the lookup key named explicitly ('by the slug a result carries') and the payload enumerated. It implicitly separates itself from search_companies by emphasizing a single employer, but it never names the sibling tools outright.

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

Usage Guidelines3/5

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

'By the slug a result carries' implies the precondition that a slug must come from a prior search result, which is useful implied guidance. There is, however, no explicit when-to-use versus search_companies or get_job, and no stated failure behavior for an invalid slug.

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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