analyze_confidence_regions

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions analyzing and identifying regions but doesn't describe what the tool actually returns (e.g., statistical summaries, visualizations, or lists), whether it's a read-only operation, performance characteristics, or any side effects. For a tool with no annotation coverage, this leaves significant gaps in understanding its behavior.

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, efficient sentence that directly states the tool's function without unnecessary words. It's front-loaded with the core purpose and avoids redundancy. Every part of the sentence contributes essential information, making it highly concise and well-structured.

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 complexity of analyzing confidence regions and the lack of annotations and output schema, the description is incomplete. It doesn't explain what the analysis entails, what results to expect, or how it differs from related tools. For a tool that likely involves data processing and interpretation, more context is needed to understand its full scope and limitations.

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 schema description coverage is 100%, with the single parameter 'uniprotId' clearly documented as 'UniProt accession'. The description doesn't add any additional meaning beyond what the schema provides, such as explaining how the UniProt ID relates to confidence analysis or what formats are accepted. With high schema coverage, the baseline score of 3 is appropriate.

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's purpose: 'Analyze confidence score distribution and identify high/low confidence regions'. It specifies the action (analyze and identify) and the resource (confidence score distribution/regions). However, it doesn't explicitly differentiate from sibling tools like 'get_confidence_scores' or 'validate_structure_quality', which might have overlapping functionality.

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. With sibling tools like 'get_confidence_scores' and 'validate_structure_quality', there's no indication of when this analysis tool is preferred or what specific scenarios it addresses. The description lacks any context about prerequisites or exclusions.

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