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Submit a Confirmed Job Application

apply_to_job

Submit only the exact, visible compiled artifact after the email-verified human principal approves its hash. Requires the single-use approval authorization, an API key, and principal_authorized=true. Candidates and agents are never charged.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYesActive job UUID returned by search_jobs or get_job.
compiled_artifact_idYesPrivate artifact ID returned by compile_job_specific_resume.
principal_authorizedYesTrue only after the named candidate explicitly authorizes this exact application.
compiled_artifact_hashYesExact SHA-256 hash of the candidate-approved compiled artifact.
compiled_authorization_idYesShort-lived single-use authorization returned by approve_compiled_application.

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden of disclosure. It reveals important guardrails: the artifact must be exact and visible, the hash requires human principal approval, the authorization is single-use, and 'candidates and agents are never charged'. It does not, however, mention side effects like irreversibility or what happens on failure, but it discloses the key behavioral constraints for a submission action.

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 two concise sentences, front-loaded with the primary action and followed by essential requirements. Every clause adds meaningful information without redundancy, making it highly efficient.

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?

For a tool with 5 parameters, no output schema, and no annotations, the description provides enough workflow context (phase after approval, required authorizations, no charge) to guide an agent. It could mention error handling or return behavior, but the absence of an output schema lowers the need. The key contextual information is present, making it fairly complete.

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 the baseline is 3. The description adds some context like 'email-verified' and 'single-use' but these are already partially captured in the schema (e.g., compiled_authorization_id already says 'Short-lived single-use authorization'). The description does not significantly alter or expand the understanding of any parameter beyond the schema.

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 function: 'Submit only the exact, visible compiled artifact' for a job application, with a specific verb ('submit') and resource ('compiled artifact'). It also distinguishes itself from sibling tools like compile_job_specific_resume and approve_compiled_application by emphasizing the final submission step after approval.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context for when to use the tool: after the 'email-verified human principal approves its hash', and it lists required prerequisites (single-use authorization, API key, principal_authorized=true). It implies the tool is not for initial compilation or approval, though it does not explicitly name alternatives or state when not to use it.

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

A3.9/5.0
Disambiguation4/5

Most tools have clear, distinct purposes (e.g., search_jobs vs get_job vs get_similar_jobs). The main ambiguity is between match_jobs and analyze_application_readiness, both of which assess candidate-job fit, though one ranks multiple jobs and the other evaluates readiness for a specific role. The application flow steps are well-separated.

Naming Consistency5/5

All tool names consistently follow the snake_case verb_noun pattern (e.g., get_company, list_companies, apply_to_job). Even longer names like analyze_application_readiness and compile_job_specific_resume adhere to this convention, with no mixed casing or inconsistent verb styles.

Tool Count3/5

With 20 tools, the server is on the heavier side for a job board, though the breadth of features (search, company info, salary, application, interview tracking, and product sales) partially justifies the count. Some redundancy exists (e.g., get_trending_companies vs list_companies, get_stats vs get_salary_data), making the set feel slightly bloated.

Completeness3/5

The toolset covers core job search and application workflows, but there is no way to list or track submitted applications, view application status, or withdraw an application. Post-application features are limited to interview outcomes, leaving obvious lifecycle gaps for a candidate-facing job platform.

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