hires_list_departments
List departments for the company. Use for job organization filters and reporting dimensions.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| company_id | No | Target company ID (uses default company when omitted) |
List departments for the company. Use for job organization filters and reporting dimensions.
| Name | Required | Description | Default |
|---|---|---|---|
| company_id | No | Target company ID (uses default company when omitted) |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false, covering safety. Description adds that it lists departments for a company but does not detail behavior like pagination, ordering, or permission requirements. It adds context beyond annotations but remains minimal.
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 sentences, 12 words, no redundant information. Every part is useful and the description is front-loaded.
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 list tool with one optional parameter and no output schema, the description adequately states purpose and use case. It does not describe return format or ordering, but this is acceptable given the low complexity.
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 coverage is 100% and schema describes the company_id parameter. Tool description does not add any further information beyond what is in the schema, so baseline score of 3 applies.
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?
Description explicitly states 'List departments for the company' with specific verb and resource, and distinguishes from sibling list tools by focusing on departments. The use case is further clarified with 'for job organization filters and reporting dimensions.'
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?
Provides clear context for when to use the tool (for job organization filters and reporting), but does not explicitly exclude other circumstances or mention alternative tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.