analyze_peer_review_quality

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

Annotations include readOnlyHint=true, and the description's 'Analyze' aligns with a read-only operation. However, the description does not disclose any additional behavioral traits beyond the parameter definitions, such as performance or return characteristics.

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 concise: a single sentence for purpose followed by a structured Args list with clear parameter explanations. No redundant or extraneous content.

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 4 parameters and 0% schema coverage, the description provides reasonable completeness by defining each parameter. The output schema exists, so return values are covered. However, the description lacks specifics on what the analysis entails beyond 'quality and content,' which could be improved.

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?

With 0% schema description coverage, the description compensates by explaining each parameter: course_identifier as 'Course code or Canvas ID', assignment_id as 'Canvas assignment ID', analysis_criteria as 'JSON string of custom criteria', and generate_report as 'Generate detailed analysis report'. This adds substantive meaning beyond the schema.

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 'Analyze the quality and content of peer review comments,' which is a specific verb+resource combination. It distinguishes this tool from siblings like 'extract_peer_review_dataset' or 'generate_peer_review_report,' as those focus on different aspects.

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 provides no guidance on when to use this tool versus alternatives, nor does it mention prerequisites or scenarios where it is appropriate. The Args list gives parameter details but lacks contextual usage advice.

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