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TalentLyft Ops Control Plane

api_request

Use any documented TalentLyft Ops Control Plane endpoint through the buyer's saved connection details.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYesFull URL or documented path.
methodYes
confirmNoSet true to run a live (non-GET) change. Ignored for GET and when dry_run=true.
dry_runNoPreview the action without sending it.
body_jsonNoJSON request body for documented write operations.
query_jsonNoAdditional documented query parameters, including bracketed filter keys.
headers_jsonNoAdditional request headers for endpoints that require vendor-specific headers.

TDQS

B3/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of disclosing behavior. It mentions using 'saved connection details' but does not disclose that this tool can perform mutations, require confirmation, or support dry-run previews. These traits are only inferable from the schema, not the description.

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 a single sentence with no unnecessary words, as required for conciseness. However, it is so brief that it omits important contextual information, making it less effective than a slightly longer description would be. Still, it is structured well and front-loaded.

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

Completeness1/5

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

This is a generic API request tool with 7 parameters, no output schema, and no annotations. The description provides only the core purpose, omitting guidance on confirmation, dry-run usage, endpoint discovery, and common pitfalls. It is inadequate for an agent to use safely without additional context.

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 high (86%), so the schema already documents most parameters. The description adds no additional parameter context beyond what the schema provides, making the baseline score of 3 appropriate.

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 the tool's purpose: to use any documented TalentLyft Ops Control Plane endpoint. The verb 'Use' is generic but the resource 'any documented endpoint' is specific, and it distinguishes the tool from the many sibling tools that target individual endpoints.

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 generic tool versus the specific sibling tools, nor are there any exclusions or prerequisites mentioned. The description implies it is a general-purpose caller but does not explicitly say to prefer specific tools or explain when this fallback is appropriate.

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

C2.9/5.0
Disambiguation4/5

Most tools target a distinct entity with clear get/list/create/update/delete verbs, and descriptions clarify related entities like job_requisition vs job_board_post. The generic api_request is a fallback that could overlap, but it's explicitly for undocumented endpoints, so ambiguity is low.

Naming Consistency4/5

The vast majority follow a consistent verb_noun pattern (get_candidate, list_jobs, create_webhook_subscription). Two deviations exist: api_request and move_candidate_application_to_stage, which use different structures. Overall the naming is predictable and easy to navigate.

Tool Count2/5

At 37 tools, this exceeds the 25+ threshold that is considered too many. Many tools are simple get/list pairs for individual entities, inflating the count. The scope is broad, but the set would benefit from consolidation or relying more on the generic api_request.

Completeness4/5

The tool surface covers a wide range of ATS entities including candidates, jobs, applications, pipelines, stages, members, events, forms, webhooks, and requisitions. Core create/update operations exist for candidates, jobs, and webhooks, and move_candidate_application_to_stage covers a key workflow. The generic api_request fills any remaining gaps, so no obvious dead ends.

Resources