trace-mcp

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

With no annotations provided, the description carries full burden but only partially discloses behavior. It describes the visualization output format and visual encodings (node size, color), but omits critical details like whether this opens a browser, requires specific permissions, generates temporary files, or has side effects. For a tool that creates interactive HTML, more behavioral context is needed.

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, dense sentence with zero waste—every clause adds value by specifying the visualization type, components, and visual encodings. It is front-loaded with the core action and efficiently structured without redundancy.

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 (interactive visualization with multiple parameters) and lack of annotations or output schema, the description is moderately complete. It covers the visualization's purpose and visual design but misses behavioral aspects like how the HTML is accessed or system requirements. It's adequate but has clear gaps for a tool of this nature.

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%, so the schema fully documents both parameters (output path and layout enum). The description adds no parameter-specific information beyond what's in the schema, maintaining the baseline score of 3 for adequate but not enhanced parameter semantics.

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 specific action ('Open interactive HTML visualization') and resource ('subproject topology'), with detailed visualization elements (services as nodes, API calls as edges, health/risk indicators). It distinguishes from sibling tools like 'visualize_graph' by specifying the subproject focus and visualization format.

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 no guidance on when to use this tool versus alternatives like 'visualize_graph' or 'get_subproject_graph'. It lacks context about prerequisites, appropriate scenarios, or exclusions, leaving the agent to infer usage from the purpose alone.

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