trace-mcp

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

No annotations are provided, so the description carries full burden. While it mentions the algorithm (Kosaraju SCC), it doesn't disclose important behavioral traits like whether this is a read-only operation, computational complexity, output format, or any side effects. For a zero-parameter tool with no annotations, this leaves significant gaps in understanding how the tool behaves.

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 a single, efficient sentence that front-loads the core purpose ('Find circular dependency chains') followed by the specific algorithm. Every word earns its place with zero wasted text, making it immediately understandable.

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 tool with no annotations and no output schema, the description is incomplete. While concise, it doesn't explain what the output looks like (list of cycles? graph visualization?), computational requirements, or how results should be interpreted. Given the complexity of dependency analysis and lack of structured output documentation, more context is needed for effective use.

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?

With 0 parameters and 100% schema description coverage, the baseline is 4. The description appropriately doesn't discuss parameters since there are none, and the schema already fully documents the empty input object. No additional parameter information is needed or provided.

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 a specific verb ('Find') and resource ('circular dependency chains in the import graph'), and it distinguishes itself from siblings by specifying the algorithm used (Kosaraju SCC algorithm). This makes it immediately clear what the tool does and how it differs from related tools like get_import_graph or get_dependency_diagram.

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 context (analyzing import graphs for circular dependencies) but doesn't explicitly state when to use this tool versus alternatives. With many sibling tools for dependency analysis (get_import_graph, get_dependency_diagram, get_coupling, etc.), the agent must infer appropriate usage scenarios without explicit guidance.

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