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workorai

Save / unsave job

candidate.set_saved_job

Set whether a PUBLISHED job is in the candidate's saved list (idempotent desired-state, NOT a toggle — pass saved:true to bookmark, saved:false to remove). Returns NOT_FOUND for a missing or non-public job.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
jobIdYes
savedYesDesired saved state. true bookmarks the job, false removes the bookmark. Idempotent — a retry never flips the state.
apiKeyNoOptional WorkorAI MCP key for in-session authentication when the MCP client was initialized anonymously.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okNo
savedNo

TDQS

A4.9/5.0
Behavior5/5

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

No annotations, but description fully discloses behavior: idempotent, NOT a toggle, works only on PUBLISHED jobs, returns NOT_FOUND for missing/non-public. No contradictions.

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?

Two concise sentences, front-loaded with key point. Every sentence provides essential info without redundancy.

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?

Covers all critical aspects: purpose, usage conditions, parameter behavior, error scenarios. Output schema exists, so return values are assumed handled. Complete for a simple set tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Adds meaning beyond schema: explains 'saved' as desired state with idempotence, clarifies 'jobId' must be published, and contextualizes 'apiKey' for authentication. Schema covers 67% of parameters, description compensates well.

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?

Description clearly states the verb 'set', resource 'saved job status', and scope 'PUBLISHED jobs', distinguishing it from siblings like 'candidate.get_saved_jobs' and 'candidate.apply_to_job'.

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?

Explicitly states idempotent desired-state, not a toggle; specifies conditions (only PUBLISHED jobs) and error response (NOT_FOUND for missing/non-public). Guides correct usage and warns against common misunderstandings.

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

A3.8/5.0
Disambiguation5/5

Every tool in the candidate and employer sets targets a distinct action or resource with no ambiguity. Tools like `search_candidates_by_query` and `search_candidates_for_job` have clearly different purposes, and all other tools perform unique operations.

Naming Consistency5/5

All tools follow a consistent `domain.action` pattern with snake_case action names. The naming is uniform across both candidate and employer tools, using standard verbs like get, list, create, update, delete, search, set, etc.

Tool Count4/5

29 tools cover two distinct user roles (candidate and employer) with separate workflows. While above the typical 3-15 range, each tool serves a specific purpose and the count is justified for a hiring platform's API surface.

Completeness4/5

The tool surface provides comprehensive CRUD and lifecycle operations for jobs, applications, invitations, and candidate searches for both roles. Minor gaps like candidate profile update tools are likely handled outside the MCP server, so the set feels nearly complete.