sharplens-mcp

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It adequately describes the core functionality and output formats, but lacks details about prerequisites (e.g., requires loaded solution), performance characteristics, or error conditions. The description doesn't contradict any annotations since none exist.

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 perfectly structured with three focused sentences: purpose statement, output format details, and use cases. Every sentence earns its place with zero wasted words, and key information is front-loaded for quick comprehension.

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 moderate complexity (visualization with format options), no annotations, and no output schema, the description does well by covering purpose, output behavior, and use cases. However, it could be more complete by mentioning that this likely requires a loaded solution (implied by context but not stated) or describing the graph structure in more detail.

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 has 100% description coverage for its single parameter, so the baseline is 3. The description adds value by explaining the semantic difference between output formats ('json' returns structured data, 'mermaid' returns diagram syntax), which helps users choose appropriately based on their visualization needs.

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 ('visualize', 'shows', 'detects') and resources ('project dependencies', 'graph', 'circular dependencies'). It effectively distinguishes itself from siblings like 'find_circular_dependencies' by emphasizing visualization and graph output rather than just detection.

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 ('Understand solution architecture, find circular dependencies, plan refactoring'), which helps differentiate it from analysis-focused siblings. However, it doesn't explicitly state 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.