trace-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 performs scanning across all repos in the registry, which is a key behavioral trait. However, it lacks details on potential limitations (e.g., performance, rate limits, authentication needs) or output format, which are important for a tool that scans multiple repositories.

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, well-structured sentence that efficiently conveys the tool's purpose and scope without any redundant information. It is front-loaded with the core functionality and uses specific examples (e.g., file types), making it highly concise and effective.

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 complexity of cross-repo dependency analysis, no annotations, and no output schema, the description is moderately complete. It covers the main purpose and scanning behavior but lacks details on output format, error handling, or constraints, which could hinder the agent's ability to use the tool effectively without additional context.

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, providing clear details for each parameter (package, project, direction). The description adds marginal value by mentioning 'registered projects' and 'all repos in the registry', which contextualizes the parameters but does not significantly enhance their semantics beyond what the schema already defines.

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 ('find', 'scans') and resources ('registered projects', 'package', 'repos'), distinguishing it from sibling tools by focusing on cross-repo package dependency analysis. It explicitly mentions scanning package.json/composer.json/pyproject.toml files, which is a unique scope among the listed siblings.

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 through the phrase 'find which registered projects depend on a package, or what packages a project publishes', suggesting two main use cases. However, it does not explicitly state when to use this tool versus alternatives (e.g., other dependency-related tools like get_dependency_diagram or get_service_deps) or provide exclusions, leaving some ambiguity for the agent.

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