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list_interview_kits

List interview kits in Greenhouse. Shows exercises, anonymization settings, and which job/interview stage they belong to when expanded access is available.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idsNoComma-separated interview kit IDs
cursorNoPagination cursor from a previous response. When provided, must be the only filter parameter.
job_idsNoComma-separated job IDs
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
job_interview_idsNoComma-separated job interview IDs
on_behalf_of_user_idYesGreenhouse user ID of the human approving this expanded data request.

TDQS

B3.3/5.0
Behavior3/5

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

Without annotations, the description partially compensates by noting that certain details are shown only 'when expanded access is available,' hinting at a permission-based behavior. However, it does not disclose that the operation is read-only, whether it triggers side effects, or that pagination is used. The cursor parameter is explained only in schema.

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 extremely concise—two sentences front-loading the primary action ('List interview kits') and key details. Every word is meaningful; no fluff or repetition.

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

Completeness3/5

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

Given the lack of output schema, the description outlines what information is returned (exercises, anonymization settings, stage association) but omits details like pagination, default sorting, or the fact that cursors are used. For a selection tool with 8 parameters, the context is adequate but not fully comprehensive.

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?

The input schema covers all parameters with descriptions (100% coverage). The tool description mentions 'expanded access,' tying to the on_behalf_of_user_id parameter, adding minimal context. Otherwise, no additional parameter semantics beyond the schema are provided.

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 clearly identifies the tool as listing interview kits, a specific resource, and mentions key data shown (exercises, anonymization settings, stage association). It is easily distinguishable from sibling list tools like list_interviews or list_job_interview_stages, though it could be more precise about the scope.

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_interviews). It does not mention prerequisites, such as the need for 'expanded access' or when to use different filters like job_ids vs ids. Missing explicit when-to-use or when-not-to-use directives.

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.

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