Flutter MCP

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 discloses behavioral traits such as parallel searching, structured results with relevance scoring, and documentation hints, but does not cover aspects like rate limits, authentication needs, or error handling. The description adds useful context but is incomplete for a tool with no annotations.

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 appropriately sized and front-loaded, starting with a clear purpose statement followed by details on behavior, parameters, and returns. Each sentence adds value without redundancy, and the structured format with 'Args:' and 'Returns:' sections enhances readability and efficiency.

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 tool's complexity (search across multiple sources), no annotations, and an output schema present, the description is mostly complete. It covers purpose, behavior, parameters, and return values, but could improve by addressing usage guidelines relative to siblings or more behavioral details like performance or 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?

Schema description coverage is 0%, so the description must compensate. It adds meaning by explaining each parameter's purpose (e.g., 'query' for search terms, 'limit' for maximum results, 'tokens' for response size) and provides default values and constraints (e.g., 'max: 25', 'min: 500'), which are not in the schema. However, it does not fully detail all semantic nuances, such as query formatting or token usage implications.

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 with specific verbs ('Search across multiple Flutter/Dart documentation sources') and resources ('Flutter classes, Dart classes, pub packages, and concepts'), distinguishing it from siblings like 'search_flutter_docs' by emphasizing unified, parallel searching across multiple sources rather than a single documentation set.

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 usage for searching Flutter/Dart documentation but does not explicitly state when to use this tool versus alternatives like 'search_flutter_docs' or 'flutter_docs'. It provides context about what it searches but lacks explicit guidance on exclusions or comparisons with sibling tools.

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