clinical_ai_fetch

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

No annotations are provided, so the description must carry full behavioral disclosure. It states the tool returns a parsed, schema-validated JSON document, which is helpful, but omits details like error handling, idempotency, or whether it's read-only. Acceptable but not thorough.

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, no fluff, front-loaded with verb and resource. Every word serves a purpose.

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 low complexity (1 required param, no output schema), the description covers basic functionality. However, it lacks details on error scenarios (e.g., invalid URL, unparseable card) and does not leverage sibling context to set expectations. Sufficient but not comprehensive.

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 0% (no descriptions on parameters). The only parameter 'url' has a format constraint but the description adds no beyond that. It mentions 'from a URL' but doesn't specify allowed schemes or structure. Parameter semantics are weak.

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?

Clearly states the action (fetch), the resource (Clinical AI Card), and the return value (parsed, schema-validated JSON). This differentiates it from sibling tools focused on other card types (e.g., tutor_card_fetch, decision_card_fetch).

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?

No explicit guidance on when to use this tool vs. alternatives like tutor_card_fetch or decision_card_fetch. The context implies it's for Clinical AI Cards, but the agent isn't directed to choose this over siblings. Adequate but minimal.

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