sharplens-mcp

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions the tool returns 'comprehensive type overview' and 'everything you need to understand a type quickly,' which suggests it's a read-only informational tool. However, it doesn't disclose important behavioral aspects like whether it requires specific permissions, what happens with invalid type names, or any rate limits. The description adds some context but leaves significant gaps.

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 extremely concise and well-structured. The first sentence clearly states the purpose and scope, the second provides usage guidance with a concrete example. Every sentence earns its place with zero wasted words, making it easy to parse quickly.

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?

For a single-parameter tool with 100% schema coverage but no annotations and no output schema, the description is adequate but has clear gaps. It explains what the tool does and when to use it, but doesn't describe the return format (what 'type info' includes, how base types are formatted, what member counts are provided) or any error conditions. Given the complexity of type analysis and lack of output schema, more detail would be helpful.

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 100% with the single parameter 'typeName' documented as 'Type name.' The description adds minimal value beyond the schema by providing an example usage 'get_type_overview("MyService")' which shows the parameter format. However, it doesn't explain what constitutes a valid type name format or any constraints, so it meets the baseline for high schema coverage.

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: 'Get comprehensive type overview' with specific components mentioned (type info, base types, member counts). It uses a specific verb ('Get') and resource ('type overview'), but doesn't explicitly differentiate from sibling tools like get_type_hierarchy or get_type_members, which would require a 5.

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 clear context for when to use this tool: 'in ONE CALL' and 'returns everything you need to understand a type quickly.' This implies it's for quick comprehensive understanding rather than detailed analysis. However, it doesn't explicitly mention when NOT to use it or name specific alternatives among the many sibling tools.

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