analyze_mind_map

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

No annotations exist, so the description carries the full burden, and it does not state that this is a read-only/non-mutating operation, what file formats/encodings are accepted, or whether the analysis depends on external services. Mentioning the returned fields is redundant because an output schema already exists.

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?

One compact sentence with the operation front-loaded and zero filler. It is appropriately sized, though the trailing enumeration of return fields is largely duplicative of the output schema.

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?

Output schema presence excuses omitting return-value detail, but the description still leaves the only parameter undefined and gives no usage context among five siblings. For a tool that must be pointed at a specific file, this is under-specified.

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 0% and the single required parameter file_path has no description anywhere. The description never mentions the path argument or its expected format (local path, .xmind file, relative vs absolute), so it fails to compensate for the schema gap.

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 (analyze) and resource (mind map structure) and names the concrete outputs (node count, levels, structural suggestions). This differentiates it reasonably from read_xmind_file and create_mind_map, though it never explicitly contrasts itself with those siblings.

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?

No guidance on when to choose this over read_xmind_file (reading content) or convert_to_xmind. An agent must infer that this is for structural assessment rather than content retrieval; no prerequisites or exclusions are stated.

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