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Apply to Job

apply_to_job

Submit job applications to internal postings after validating user consent, checking for duplicates, and highlighting skill mismatches.

Instructions

Apply to an internal job posting on behalf of the user. The job must be published and not expired. The user can only apply once per job — duplicate applications are rejected.

IMPORTANT: Before applying, confirm with the user that they want to apply. Review the job details (use get_starred_jobs or get_listing) and cross-reference against the user's profile. Flag any gaps between the job requirements and the user's skills — e.g. "This role asks for Go experience which isn't on your profile. Still want to apply?" This helps the user make informed decisions and avoids wasting applications. Do NOT apply to jobs without the user's explicit consent.

Only works for internal jobs (applicationType: "internal"). For external jobs, direct the user to the applicationUrl instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
jobIdYesThe ID of the job to apply to
Behavior4/5

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

Annotations only set readOnlyHint=false, destructiveHint=false. Description adds critical behavioral context: it performs a write operation, rejects duplicates, requires user confirmation, and only works for internal jobs. No contradiction with annotations.

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?

Description is front-loaded with the core action and constraints. The important note is longer but necessary for safe usage. It is well-structured, though slightly verbose.

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

Completeness4/5

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

Given the tool's simplicity (1 param, no output schema), the description covers preconditions, verification steps, and limitations. It lacks explicit mention of success/failure return behavior, but overall it is complete for an AI agent.

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?

Input schema has 100% description coverage for the single parameter (jobId). The description does not add significant meaning beyond the schema, so baseline 3 is 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 applies to internal job postings on behalf of the user. It explicitly mentions constraints (published, not expired, no duplicates) and distinguishes from sibling tools by specifying internal vs external jobs.

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?

Provides explicit when-to-use (internal jobs with user consent), when-not-to-use (duplicate, expired, external), and alternatives (direct user to applicationUrl for external jobs). The important note instructs to verify with user and cross-reference skills.

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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