text_to_dialogue

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

No annotations provided; description only mentions task creation and return fields. Lacks info on asynchronicity, authorization, side effects, or error conditions.

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?

Single sentence covering purpose and output, but could benefit from front-loading key behavioral info like async nature.

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?

With 6 parameters, no output schema, and no annotations, description is insufficient to understand full usage and expected behavior.

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 coverage is 33%; description adds no parameter details. Undocumented parameters like 'dialogue' and 'stability' lack explanation.

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?

Clearly states it creates an ElevenLabs task for text to dialogue on RunAPI and lists return values. Distinguishes from siblings like text_to_speech by specifying 'dialogue' output.

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?

Implied use case from name and description but no explicit when-to-use or alternatives. Sibling tools suggest differentiation but not spelled out.

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