assess_patient_risk

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

The description comprehensively discloses behavioral traits: read-only, stateless, idempotent, no side effects, authentication needs (none basic, API key for pro), rate limits (10/day free, unlimited pro), structured error handling, and data privacy. Since no annotations were provided, the description fully carries the burden and does so thoroughly.

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-structured with sections (Behavior, When to use, When NOT to use, Args, Behavioral Transparency), but it is verbose. The 'Behavioral Transparency' section largely repeats the earlier behavior bullet points. Parameter descriptions are padded without added value. Could be more concise.

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?

Given the tool has 6 parameters (3 required) and an output schema, the description covers behavioral context, usage guidelines, error handling, rate limits, and privacy. Parameter descriptions are weak, but the overall guidance is sufficient for an agent to use the tool effectively. Minor gap in parameter semantics prevents a perfect score.

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?

Despite 0% schema description coverage, the description's 'Args' section adds almost no meaning beyond parameter names. For each parameter it only says 'The [name] to analyze or process,' which is tautological. Only conditions and medications get the useful hint of being comma-separated strings. Other parameters (age, bmi, smoker, api_key) lack any semantic guidance.

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 the tool is for 'Risk scoring based on patient conditions, age, and comorbidities.' This specifies the verb (scoring) and resource (patient risk), and distinguishes it from sibling tools like check_drug_interactions or validate_dosage, which target different clinical tasks.

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?

The description includes explicit 'When to use' and 'When NOT to use' sections, guiding the agent to use it for structured analysis/classification and cautioning against real-time production decisions without human review. This differentiation from siblings is effective.

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