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AndreyTepaykin

hh-mcp

get_employer

Retrieve an employer's hh.ru profile by ID, including description, industries, website, and vacancy count.

Instructions

Get detailed employer profile: description, industries, website, vacancy count.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rawNoReturn the full raw hh.ru JSON instead of the compact summary.
employer_idYesEmployer ID

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv3.1.0
    • changedInput schema / properties / employer_id / pattern
      Previous value: -"^\\d+$"New value: +"^[1-9]\\d*$"
  2. First observedv2.2.0

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral burden. It usefully discloses the shape of the returned profile payload, but says nothing about read-only semantics, authentication/permission needs, error behavior for an invalid employer_id, or the effect of the raw flag.

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 front-loaded sentence with no filler, and the resource and its fields come first. Slightly thin, but nothing is wasted.

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 simple two-parameter read tool with no output schema, the field list substitutes for a return-value description and is mostly sufficient. Remaining gaps (auth, invalid-ID behavior, how raw differs in practice) are minor for this tool's complexity.

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%: employer_id has a pattern hint and raw is explicitly documented as 'full raw hh.ru JSON instead of the compact summary'. The description adds no parameter-level meaning, so the baseline of 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 verb (Get) and resource (detailed employer profile) and enumerates the returned fields (description, industries, website, vacancy count). This distinguishes it implicitly from search_employers, but no sibling is named explicitly.

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?

Usage is only implied: fetch by employer_id when the full profile is needed. There is no statement of when to prefer this over search_employers or get_employer_vacancies, and no prerequisites or exclusions are given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.