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Greenhouse MCP

Greenhouse MCP

by benmonopoli

get_job_post_custom_locations

Retrieve the custom-list locations selected on a Greenhouse job post, returning each location's id, value, active status, job board, and job post location id.

Instructions

Get the custom-list locations selected on a job post. Read-only.

Custom locations are per-job-board dropdown values. Returns {"items": [{id, value, active, greenhouse_job_board_id, job_post_location_id}]}. For all of a post's locations (free text, office, custom), use get_job_post. To find job_post_id: list_job_posts_for_job.

Input Schema

NameRequiredDescriptionDefault
job_post_idYesJob post ID — get from list_job_posts

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.5.0
    • addedInput schema / properties / job_post_id / description
      Added value: +"Job post ID — get from list_job_posts"
  2. Addedv0.3.4

TDQS

A4.5/5.0
Behavior4/5

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

No annotations are provided, so the description carries the burden: it declares 'Read-only' and discloses the exact return envelope, plus contextualizes custom locations as per-job-board dropdown values. It omits pagination/auth notes, but for a single read tool this is substantial disclosure.

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?

Front-loads the purpose, then adds scope, return shape, sibling routing, and ID sourcing in tight, non-redundant lines. Every sentence earns its place.

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?

With one parameter, 100% schema coverage, a read-only nature, and sibling routing all covered, an agent has everything needed to select and invoke this correctly. An output schema exists, so return-shape detail is a bonus rather than a gap.

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 sole parameter's description already documents where to get job_post_id. The description restates that sourcing hint but adds no syntax or format detail beyond the schema, 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+resource ('Get the custom-list locations selected on a job post') and explicitly distinguishes itself from get_job_post, which returns all location types. The agent can tell this narrow tool apart from its broad sibling without opening a schema.

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

Usage Guidelines5/5

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

Names the alternative and the condition that selects it ('For all of a post's locations ... use get_job_post') and gives the prerequisite for the ID ('To find job_post_id: list_job_posts_for_job'). When-to-use and how-to-source-the-argument are both explicit.

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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