doctor

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

No annotations are provided, so the description carries the burden. It states the action is to 'check' prerequisites, implying a read-only diagnostic, but it does not disclose what happens on failure, whether any fixes are applied, or what the output contains. The output schema covers return details, but side effects and failure modes are not mentioned, leaving a moderate gap.

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 short and front-loads the key object list. However, the Korean sentence '준비물 점검. 뭔가 안 될 때 먼저 부른다.' essentially repeats the English, adding redundancy. It remains compact and to the point, but the duplication prevents a top score.

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?

For a zero-parameter diagnostic tool with an output schema present, the description adequately explains what is checked and when to invoke it. It does not need to detail return values because the output schema exists. It could have added executor prerequisites, but this is a minor omission, so a 4 is appropriate.

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 zero parameters and schema coverage is 100%, so there are no parameters to describe. According to the rubric, 0 params gets a baseline of 4. The description also lists the checked items, which gives context about what the tool inspects even though they are not formal parameters.

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?

States a specific verb ('Check') and names the exact resources (python, mcp, uv, Blender, receiver add-on, connection, output folder). This clearly distinguishes it from siblings like ping_blender, which only checks Blender connectivity, and the 'call first when something doesn't work' adds a distinct diagnostic role.

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?

Gives an explicit when-to-use: '뭔가 안 될 때 먼저 부른다' (call first when something doesn't work). This provides clear context for selecting the tool, though it does not name sibling alternatives or exclusion conditions, so it falls short of a full 5.

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