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list_rejection_reasons

List all rejection reasons in Greenhouse. These are the predefined reasons available when rejecting candidates.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idsNoComma-separated rejection reason IDs to filter by
cursorNoPagination cursor from a previous response. When provided, must be the only filter parameter.
per_pageNoResults per page (1-500, default 100)
created_atNoFilter by creation date. Format: operator|ISO8601 (e.g. gte|2024-01-01T00:00:00Z). Operators: gte, lte, gt, lt
updated_atNoFilter by update date. Format: operator|ISO8601 (e.g. gte|2024-01-01T00:00:00Z). Operators: gte, lte, gt, lt
include_defaultsNoInclude default rejection reasons

TDQS

B3.4/5.0
Behavior2/5

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

No annotations are provided, so the description carries full burden. It only states the tool lists all reasons, but does not disclose behavioral traits such as read-only nature, permissions needed, pagination behavior, or any side effects. The schema implies pagination via cursor and per_page, but description omits this.

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?

The description is a single, efficient sentence that conveys the core purpose without extraneous words. It is front-loaded and directly relevant.

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?

With 6 parameters and no output schema, the description should provide more context about return value structure or pagination behavior. It lacks details on what fields the rejection reasons contain and how pagination works, which are important for proper invocation.

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 baseline is 3. The description adds no additional meaning beyond what the schema already provides for parameters. It does not explain how to use parameters effectively.

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 clearly states it lists all rejection reasons in Greenhouse and indicates they are predefined reasons for rejecting candidates. This verb-resource combination is specific and distinguishes it from sibling tools like list_close_reasons.

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 stating these reasons are available when rejecting candidates, but it does not explicitly specify when to use this tool versus alternatives like list_rejection_details. No when-not-to-use guidance or alternative tool mentions.

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