Greenhouse Ops Control Plane

by app.vercel.ats-ops-control-plane-gateway

list_job_posts

List job posts in Greenhouse. Job posts are the public or internal postings of a job, including title, content, and questions.

Input Schema

TableJSON Schema

Name	Required	Description
`ids`	No	Comma-separated job post IDs to filter by
`live`	No	Filter by live status (live post on a live job board)
`active`	No	Filter by active status
`cursor`	No	Pagination cursor from a previous response. When provided, must be the only filter parameter.
`job_ids`	No	Comma-separated job IDs to filter by
`featured`	No	Filter by featured status
`internal`	No	Filter by internal posting status
`per_page`	No	Results per page (1-500, default 100)
`created_at`	No	Filter by creation date. Format: operator\|ISO8601 (e.g. gte\|2024-01-01T00:00:00Z). Operators: gte, lte, gt, lt
`updated_at`	No	Filter by update date. Format: operator\|ISO8601 (e.g. gte\|2024-01-01T00:00:00Z). Operators: gte, lte, gt, lt
`job_board_ids`	No	Comma-separated job board IDs to filter by

TDQS

B3.1/5.0

Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral transparency. It only explains what a job post is, but fails to mention that this is a read-only operation, any authentication requirements, or pagination behavior (though cursor parameter hints at it).

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 concise at two sentences with no unnecessary information. However, it could be slightly more structured to front-load the purpose and include key behavioral notes.

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

Completeness2/5

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

Given 11 parameters, no output schema, and no annotations, the description is too brief. It does not explain pagination, filtering behavior, or response format, leaving significant gaps for an AI agent to correctly invoke the 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 parameters thoroughly. The description adds no additional parameter meaning beyond the schema, earning the baseline score of 3.

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?

The description explicitly states the verb 'List' and the resource 'job posts', and distinguishes from sibling tools like list_jobs by specifying that job posts are the public/internal postings of a job including title, content, and questions.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives (e.g., list_jobs, list_job_board_custom_locations). The description does not mention prerequisites or context for usage.

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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TDQS

B3.2/5.0

Disambiguation4/5

With 87 tools, there is potential for confusion among similar list tools (e.g., list_candidates vs list_applied_candidate_tags), but each tool targets a distinct entity or action, and descriptions provide enough clarity to differentiate them.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern using lowercase with underscores (e.g., list_jobs, get_application, patch_candidate_profile). No mixing of styles or irregular conventions.

Tool Count1/5

At 87 tools, the count is extremely high for a single server, exceeding the 50+ threshold for extreme mismatch. While the domain is broad, the number of tools is likely to overwhelm agents and dilute focus.

Completeness3/5

The tool set covers a wide range of operations (list, get, patch, add, remove, upsert) across many entities, but lacks basic CRUD for core objects like jobs and candidates (no create_job or create_candidate), leaving notable gaps.

Resources

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