hires_list_sources
List candidate sources for the company. Use for attribution sync and reporting consistency.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| company_id | No | Target company ID (uses default company when omitted) |
List candidate sources for the company. Use for attribution sync and reporting consistency.
| 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?
The description adds little beyond annotations (readOnlyHint=true, destructiveHint=false). It doesn't elaborate on return format or other behavioral traits, but annotations already convey safe read operation.
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 two sentences, front-loads the purpose, and contains no fluff. Every word adds value.
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, no output schema, and safe read annotations, the description covers purpose and usage context completely.
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 the description for the sole parameter 'company_id' is already clear in the schema. The description does not add meaningful parameter semantics beyond the schema.
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 clearly states it lists candidate sources for the company, which is specific and distinguishes it from sibling list tools like hires_list_candidates or hires_list_jobs.
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?
It provides clear usage context ('attribution sync and reporting consistency') but does not explicitly state when not to use it or mention alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.