generate_job_description

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

With no annotations provided, the description shoulders the full burden and delivers comprehensively. It explicitly states read-only, no side effects, deterministic output, authentication details, rate limits (free/pro tiers), error handling, idempotency, and data privacy. Every behavioral trait is disclosed clearly and accurately.

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 well-organized with clear sections, but it contains redundancy—the 'Behavior' paragraph largely overlaps with the 'Behavioral Transparency' section. The 'Args' list is verbose without adding value. A more streamlined version would achieve the same clarity in fewer words.

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?

The behavioral information is complete, but the parameter descriptions are absent. Given the tool has 6 parameters with 0% schema coverage, the description should elaborate on each parameter's role in generating a job description. The existence of an output schema is noted but doesn't compensate for missing input semantics. Overall, the description feels incomplete for a tool with moderate 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?

The 'Args' block lists parameters but adds zero meaning beyond the schema—each parameter is described generically as 'The <name> to analyze or process.' The schema itself lacks descriptions (0% coverage), so the description should compensate, but it fails to explain what each parameter means for job description generation (e.g., how 'remote' affects the output, what 'skills' format is expected). This is a critical gap.

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 'Generate a complete job description for a given role and level.' The first sentence is specific and aligned with the tool name. However, the later 'When to use' section uses generic language ('structured analysis or classification') that could apply to sibling tools like analyze_requirements, slightly diluting clarity.

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?

Explicit 'When to use' and 'When NOT to use' sections are present. The description advises against real-time production decision-making without human review, which is helpful. However, it does not directly contrast with siblings (analyze_requirements, check_bias, suggest_salary_range) to guide selection, so it loses a point.

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