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TalentHR MCP by usefulapi

Get an employee

talenthr_get_employee
Read-only

Get one employee's profile: birth date, hire and termination date, personal e-mail, work phone, address, nationality, gender, job title, department, division, location, role, seniority and custom fields. Contains sensitive personal data (it can include the SSN); only fetch it when the user asked about that person.

Input Schema

NameRequiredDescriptionDefault
employee_idYesThe employee id (from talenthr_list_employees).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, but the description adds substantive context beyond that: the payload contains sensitive personal data and can include the SSN, plus a caution against speculative fetching. Return shape and pagination are not discussed, but for a single-record read the sensitivity disclosure is the key behavioral fact.

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 sentences, zero waste: the first front-loads purpose plus returned fields, the second front-loads the privacy constraint. The long field list is dense but each item distinguishes the tool's payload.

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

Completeness5/5

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

For a single-parameter read-only tool with no output schema, the description compensates by enumerating the returned fields and flagging sensitive content. Nothing an agent needs to invoke it correctly is missing.

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 documents employee_id including its source (talenthr_list_employees). The description adds nothing about the parameter, so the baseline 3 applies.

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

Purpose5/5

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

States a specific verb and resource ('Get one employee's profile') and then enumerates the exact fields returned, which clearly separates it from the list, report, and sub-resource siblings (get_employee_job, get_employee_benefits). An agent can identify the tool without opening the schema.

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

Usage Guidelines4/5

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

Provides an explicit guardrail: 'only fetch it when the user asked about that person,' which tells the agent when not to call it. It stops short of naming an alternative for discovery (e.g., list/search), so it is strong but not fully routing.

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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