Visualize Chat

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It transparently reveals that the tool's output is structured instructions, not the actual mind map, and that the user must follow these instructions to produce the JSON. This is a key behavioral trait beyond the schema and is well 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?

The description is two sentences: the first states the core purpose, and the second explains the procedure. It is front-loaded and contains no unnecessary words, making it highly concise and well-structured.

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 simple one-parameter tool with no output schema, the description covers the entire workflow: input, output (instructions), and required follow-up action. It could specify the instruction format in more detail, but it is sufficiently complete for an agent to use the tool correctly.

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 provides 100% coverage for the single 'conversation' parameter, including a clear description. The tool description adds no additional parameter semantics beyond what the schema already offers, so the baseline score 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 clearly states the tool visualizes a conversation as a hierarchical mind map, and importantly clarifies that it returns structured instructions rather than the final JSON. This is specific and understandable, though it slightly diverges from the 'visualize' name. There are no sibling tools to differentiate from.

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 a clear usage flow: pass conversation text, receive instructions, then follow them to generate the mind map JSON. However, it does not explicitly state when to use this tool vs alternatives or any exclusions. Usage is implied rather than directly guided.

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