mcp-creator

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions that the tool checks for required tools, implying a read-only diagnostic operation, but doesn't detail what happens if tools are missing (e.g., error messages, suggestions) or any rate limits. The description adds some context but lacks comprehensive behavioral traits like response format or failure modes.

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 concise and well-structured, consisting of two sentences that directly state the tool's purpose and usage guidelines. Every sentence adds value without redundancy, making it efficient and easy to parse for an AI agent.

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 is low (0 parameters, diagnostic function) and an output schema exists, the description is mostly complete. It explains when to call the tool and what it checks for, but could benefit from mentioning what the output might indicate (e.g., success/failure status). However, with an output schema, detailed return values aren't necessary, so it's largely adequate.

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 0 parameters with 100% coverage, so no parameter information is needed. The description doesn't add any parameter details, which is appropriate here. Since there are no parameters, the baseline is 4, as the description doesn't need to compensate for schema gaps.

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: checking the user's environment for required tools (uv, git, gh CLI, PyPI token). It specifies the verb ('check') and resource ('environment'), making it easy to understand what it does. However, it doesn't explicitly differentiate from sibling tools like 'scaffold_server' or 'setup_github', which might also involve setup-related tasks, so it misses full sibling distinction.

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: after 'get_creator_profile' if 'setup_complete' is false. It also specifies when not to use it: if everything is set up, skip beginner instructions and go straight to building. This clearly outlines the context and alternatives, helping the agent make informed decisions.

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