timps_mcp_server_generator

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

No annotations are provided, so the description must convey the tool's side effects. It mentions 'scaffold' which implies creating a new project (potentially generating files in the current workspace), but doesn't explicit state that it writes files or that it might overwrite existing ones. This is a gap in transparency for a generative tool.

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 packs a lot of information: the action (scaffold), the target (MCP server), and the list of deliverables. No fluff or redundancy, making it easy to parse.

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 moderate complexity (2 simple params, no output schema), the description is mostly sufficient. It states the tool's purpose and output artifacts. However, it could have added a note on the typical end result (e.g., a runnable server) or any limitations (e.g., only Python supported). But since it's generically about scaffolding, the current level is 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 already describes both parameters: 'request' as 'Plain-English task or context' and 'language' as 'Primary programming language (default: python)'. The schema coverage is 100%, so the description doesn't need to add much. However, it could hint that the 'request' should be detailed enough to define the server's scope, but it doesn't. Still, given the high schema coverage, the baseline 3 is appropriate.

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 function: it scaffolds a complete MCP server. It lists the specific components (tools, resources, prompts, server.py, pyproject, smoke-test client, README) that will be generated, which is specific enough to distinguish it from the many sibling tools that handle other tasks like 'run', 'organize', or 'optimize'.

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 the tool is for creating a new MCP server, which is a distinct use case from the siblings. However, it provides no explicit cues about when to choose this tool over alternatives (e.g., when you need a new server vs. modifying an existing one). It doesn't mention any prerequisites or expected context (e.g., whether the request should contain a detailed spec).

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