Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, destructiveHint=false, openWorldHint=false, so the safety profile is set. The description adds valuable behavioral semantics: null defaults to en-US and a job may override this language. This helps the agent understand what the returned 'language' means and that it is not always the effective language for a given job, which is useful beyond the schema.

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 an idea of length: one opening statement and one clarifying clause about the language field. No filler words, fully front-loaded. It says the data is trimmed exactly to what matters, making it an especially lean definition.

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 read-only tool with one optional parameter and no output schema, the description covers the primary purpose and the only critical nuance (language default and override). An agent could invoke this correctly and understand the returned data's semantics without needing to see additional documentation. It is comprehensive for the tool's simplicity.

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 100%, and the sole parameter company_id already has a clear description: 'Omit for the API key's own company.' The field description adds no new information about this parameter. The description's value is about the return value, not the input, so it does not elevate the parameter scoring.

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 a specific verb and resource: 'Get career site settings'. It then clarifies the meaning of the language field ('the locale the public site renders in') which is distinct from other get tools like hires_get_career_job or hires_list_career_jobs. The null=en-US detail makes it unambiguous.

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 context that the language is the default for career sites and that individual jobs may override it, which tells the agent when this tool alone is sufficient versus needing job-specific language. However, it does not explicitly name alternatives like hires_update_career_site_settings or list jobs, so it falls short of the highest bar.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.