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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false. The description adds context about the content of the summary (organism, sequence, mean pLDDT), which is useful. It does not disclose any additional behavioral traits like auth or rate limits, but the annotations cover the safety profile.

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, front-loaded sentence that conveys the essential purpose. It is concise with no wasted words and easy to parse.

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?

Despite the minimal description, the tool is simple (one parameter) and benefits from rich annotations and an output schema. The description specifies the key content fields, making the tool understandable. The only notable gap is the undefined 'qualifier' parameter, but overall, the tool is adequately described for its 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?

The input schema has only one required parameter 'qualifier' with examples but no description. The tool description does not explain what 'qualifier' means or how it relates to the prediction. Schema description coverage is 0%, and the description fails to compensate for this 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 that the tool provides a short summary for a prediction, specifically including organism, sequence, and mean pLDDT. This is specific and actionable, though it doesn't explicitly distinguish it from sibling tools like 'prediction' or 'annotations'.

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 gives no explicit guidance on when to use this tool versus other tools. It implies usage for obtaining summary details of a prediction, but does not mention alternatives or exclusions. Context beyond the basic purpose is missing.

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