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List team members

recruitee_list_team_members
Read-only

List the company's team members (memberships): admin_id, role, whether they are a recruiter or hiring manager, and the jobs they can access. Use admin_id values for task assignees and filters. User names/emails are in the references array. Recruitee: GET /c/{company_id}/memberships.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number, starting at 1.
limitNoResults per page.
queryNoSearch by name or email.
role_idNoOnly members with this role id.
sort_byNoSort field (default name).
sort_orderNoSort direction (default asc).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, so the safety profile is covered. The description adds valuable return context that annotations do not provide: the membership fields (admin_id, role, recruiter/hiring-manager status, accessible jobs) and the location of user names/emails in the references array.

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?

The description is front-loaded with the purpose and then layers in output fields, cross-tool usage, and endpoint detail. Every sentence contributes, though four sentences make it slightly denser than the most concise high-scoring examples.

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?

With no output schema, the description does meaningful work by listing the return fields and explaining the references array. It does not cover pagination or response envelope details, but those are partly handled by the schema's page/limit parameters, so it is largely complete for a list tool.

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%, so the schema already documents all six parameters fully. The description does not add parameter-specific syntax, format, or usage guidance beyond what the schema provides, which is the baseline for high coverage.

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 and resource ('List the company's team members (memberships)') and enumerates the key fields returned. It does not explicitly differentiate this tool from sibling list tools, so it falls short of a 5.

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?

The description implies usage by saying 'Use admin_id values for task assignees and filters,' which helps an agent know why to call it. However, it gives no explicit when-to-use guidance, no exclusions, and no named alternatives among the many sibling list and user tools.

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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