List departments
recruitee_list_departmentsList the company's departments with their ids and job counts. Recruitee: GET /c/{company_id}/departments.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
recruitee_list_departmentsList the company's departments with their ids and job counts. Recruitee: GET /c/{company_id}/departments.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Input schema / $schemaPrevious value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
readOnlyHint=true already declares this is a safe read, lowering the bar. The description adds useful context by disclosing exactly what comes back (ids and job counts), but says nothing about pagination, scope limits, or whether departments without jobs appear.
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?
Two tight sentences with the resource and return contents front-loaded and the endpoint reference trailing as supporting detail. No filler.
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?
With no parameters and no output schema, the description carries the return-shape burden and discharges it by naming ids and job counts. A note on ordering or pagination is the only meaningful gap for such a simple read tool.
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?
Zero parameters, so the schema_description_coverage baseline of 4 applies. There is nothing for the description to disambiguate and it correctly introduces no parameter discussion.
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 and resource ('List the company's departments') and goes further by naming the returned fields ('their ids and job counts'). The resource is distinct from siblings like list_team_members and list_tags, though the description never explicitly contrasts itself with them.
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?
No guidance on when to use this versus alternatives, nor any prerequisites. The API endpoint reference implies direct REST correspondence but tells the agent nothing about selection context.
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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