sharplens-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 that the tool returns a list with specific content (constructors with signatures, static factory methods, hints like 'implements IDisposable'), which adds behavioral context. However, it lacks details on permissions, rate limits, error handling, or whether it's a read-only operation, leaving gaps in transparency 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 well-structured and front-loaded, starting with the core purpose, followed by a USAGE example and OUTPUT details. Every sentence earns its place by providing essential information without redundancy, making it efficient and easy to parse for an AI agent.

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 (analyzing instantiation options), no annotations, and no output schema, the description does a good job by explaining the purpose, usage, and output format. However, it could be more complete by addressing potential limitations or dependencies, such as requiring a loaded solution or handling of generic types, which are relevant for contextual understanding.

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 input schema has 100% description coverage, with the parameter 'typeName' documented as 'The type name to check (e.g., 'HttpClient')'. The description adds minimal value by repeating the example 'HttpClient' in the USAGE section but does not provide additional semantics beyond what the schema already covers, such as format constraints or edge cases.

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 ('get all ways to create an instance') and resources ('type'), listing concrete methods like constructors, factory methods, and builder patterns. It distinguishes itself from sibling tools by focusing on instantiation options rather than analysis, refactoring, or other code operations.

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 includes a USAGE example with a specific parameter value ('typeName="HttpClient"'), providing clear context for when to use this tool. However, it does not explicitly state when not to use it or name alternatives among sibling tools, such as 'generate_constructor' or 'get_method_overloads', which might be related but serve different purposes.

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