Debugging MCP Server

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 effectively describes the tool's behavior ('auto-detects' multiple workspace aspects) and its role in establishing context, though it lacks details on potential errors, performance, or output format, which would be beneficial given the absence of annotations and output schema.

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 appropriately sized and front-loaded, with two sentences that efficiently convey the tool's purpose and usage without any wasted words, making it easy for an AI agent to parse and apply.

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 (context establishment with auto-detection), no annotations, and no output schema, the description is largely complete for its purpose. It clearly states what the tool does and when to use it, though it could benefit from mentioning output expectations or error handling to fully compensate for the lack of structured data.

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 already documents the single parameter ('workspace_path'). The description does not add any parameter-specific information beyond what the schema provides, resulting in a baseline score of 3 as the schema handles the heavy lifting.

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 explicitly states the tool's purpose with specific verbs ('auto-detects') and resources ('technology stack, package manager, test runner, log paths, and entry points'), clearly distinguishing it from sibling tools like 'connect_dap' or 'run_tests' by focusing on initial context establishment rather than debugging actions.

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 explicit guidance on when to use this tool ('Call this first to establish context before debugging'), including a clear alternative context (use before debugging) and an implicit exclusion (not for ongoing debugging tasks like 'step_debugger').

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