analyze_evolution

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

No annotations are provided, placing full burden on the description. It mentions automatic pattern extraction and storage into a pattern library, which implies a write operation, but does not disclose potential side effects, required permissions, or whether the operation is reversible. The absence of behavioral context makes it difficult for an agent to anticipate consequences.

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 two sentences, but the information is not front-loaded for quick scanning. The key action (compare and generate roadmap) is in the first sentence, which is good, but the sentence structure could be more concise and avoid redundancy with parameter descriptions.

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 lack of output schema and annotations, the description should cover return format and workflow context. It does not explain what the generated roadmap looks like, whether it requires further steps like approve_step, or how pattern extraction affects the pattern library. This gap reduces 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?

Schema coverage is 100% with each parameter described. The description adds context about comparing six-dimensional ratings and automatic pattern extraction, but the latter is redundant with the parameter description for include_pattern_extraction. No additional meaning beyond the schema is provided, so a 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 identifies the tool as performing reverse evolution analysis by comparing six-dimensional ratings of two skills and generating a step-by-step roadmap. It mentions automatic pattern extraction, which differentiates it from sibling tools like compare_skills. However, it lacks specificity on what the 'evolution roadmap' entails and how it differs from similar analysis tools.

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 does not provide guidance on when to use this tool versus alternatives like compare_skills or search_patterns. There is no mention of prerequisites, when not to use it, or any context for its selection among the sibling tools.

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