respond_to_interview_outcomeRecord the authenticated candidate's independent response to an employer-reported interview. Requires explicit principal authorization. Confirmation can make a fixed employer fee billable; candidates and agents pay $0.
| Name | Required | Description | Default |
|---|---|---|---|
| outcome_id | Yes | ||
| principal_authorized | Yes | True only after the candidate authorizes this attestation. | |
| candidate_confirms_interview | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the behavioral disclosure burden. It reveals that explicit principal authorization is required, the response must be independent, and confirmation can trigger a billable employer fee while candidates/agents pay $0. It does not mention dispute side effects or return format, but the fee implication is a strong, non-obvious disclosure.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is three short sentences with no filler; every sentence adds substantive information about purpose, authorization, and financial impact.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple 3-parameter tool with no annotations, the description covers purpose, authorization, and fee consequences. However, it omits the provenance of outcome_id, behavior for a dispute, and whether a response can be changed, which are relevant contextual gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is only 33%, so the description must compensate. It clarifies candidate_confirms_interview via 'Confirm or Dispute' and principal_authorized via 'explicit principal authorization,' but outcome_id is left to naming convention and its source is not mentioned.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the tool records the candidate's independent response to an employer-reported interview, with a specific verb and resource. The title clarifies the two possible actions (confirm or dispute), and the fee consequence distinguishes it from list-only sibling tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies it is used when a candidate needs to respond to an interview outcome, but it does not explicitly state when to use it versus alternatives like list_my_interview_outcomes. The authorization requirement provides context but no exclusion or alternative guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
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.
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.
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.
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.