clinical_ai_well_known_url

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

No annotations are provided, so the description carries the full burden. It only states the computation without disclosing any behavioral traits (e.g., side effects, error handling, or that it is a pure string 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 a single concise sentence that communicates the essential purpose efficiently. It is front-loaded but could be slightly more informative without becoming verbose.

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 URL computation tool, the description is mostly adequate, but it does not explicitly state the return value (the URL string). Given no output schema, a brief note on output would improve completeness.

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 description adds context to system_id via the URL pattern, but origin is not elaborated. With 50% schema description coverage, the description partially compensates but does not fully explain both parameters.

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 computes a specific well-known URL for Clinical AI Card, providing the URL pattern. It distinguishes from sibling well-known URL tools (e.g., agent_card_well_known_url) by specifying the Clinical AI Card context.

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 implies the tool is for computing this URL but does not explicitly state when to use it versus alternatives. No guidance on when not to use or prerequisites, leaving the agent to infer usage.

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