list_applications
List applicants for a job you own (employer key), with verified badges.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| job_id | Yes |
List applicants for a job you own (employer key), with verified badges.
| Name | Required | Description | Default |
|---|---|---|---|
| job_id | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It discloses the authorization scope (must own the job) and that results carry verified badges, which is useful. It says nothing about pagination, ordering, or result limits for what is presumably a potentially long applicant list.
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?
One compact sentence with the resource and the ownership constraint front-loaded. No wasted words, though the parenthetical '(employer key)' is slightly cryptic.
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 one-parameter read tool with no output schema, the description covers purpose, authorization scope, and a hint of return content (verified badges). It is adequate but leaves pagination and result-volume behavior unstated, which matters for an applicant-list endpoint.
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 0% for the single job_id parameter, but the parameter is self-describing and the description ties it to 'a job you own'. No format, id source, or constraint detail is added beyond that.
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?
States a specific verb (List) and resource (applicants) scoped to 'a job you own', which is more precise than a bare 'list applications'. It does not name a sibling such as search_seekers or list_bot_applicable_jobs, so the agent must infer the boundary itself.
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 phrase 'a job you own (employer key)' implies the caller must be the employer and supplies the usage precondition, but no explicit when-to-use/when-not or alternative tool is named. Usage is inferable rather than stated.
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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