Render a mind map image

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

With no annotations, the description carries the full burden of behavior. It discloses that the tool returns MindNode's rendered JPEG preview, conveying the output type and that it is non-mutating through the verb 'Return.' It also notes the exact visual nature, which helps set expectations. It omits delivery format details (e.g., binary vs. URL), but the core behavior is clearly disclosed.

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?

A single, front-loaded sentence with no filler: action, resource, output format, and use case are all included. The dash-separated clarification earns its place and does not repeat schema content.

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 low-complexity image retrieval tool, the description plus schema covers the essential information: input document, optional appearance, and JPEG output. Since there is no output schema, some delivery details (e.g., binary payload or URL) are left unspecified, which prevents a perfect score.

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%, and both parameters ('document' and 'appearance') are already well described in the schema. The description adds no new parameter-level meaning, so the baseline of 3 applies.

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 states a specific verb ('Return') and resource ('MindNode's own rendered preview (JPEG) of a mind map'), clearly distinguishing this from sibling tools like get_mindmap (data) or open_mindmap (display). The addition 'the exact visual' reinforces that this tool returns an image, not structured content.

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 gives an explicit use case: 'useful to verify layout or ambiguous text.' This tells an agent when to prefer this tool, though it does not explicitly mention when not to use it or name alternative siblings. That clear context without exclusions fits the upper-middle band.

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