vocametrix_chat_speech_therapist

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

The description discloses behavioral traits such as maintaining conversation context via threadId for multi-turn dialogue, and adapting answers based on role. No annotations are provided, so the description carries the full burden. It adequately informs the agent about the tool's adaptive and stateful behavior.

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 three sentences long, front-loaded with the main purpose. It is efficient and contains no fluff. However, it could be slightly more concise by combining some ideas, but overall it's 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?

Given the tool's complexity (chat assistant with state and role adaptation) and the lack of output schema or annotations, the description is fairly complete. It covers the main functionality, statefulness, and role-based adaptation. No gaps are apparent for the intended use.

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%, so the schema already documents all three parameters. The description adds context about threadId for multi-turn dialogue and accountType for role, but does not add significant new meaning beyond what the schema provides. Baseline 3 is appropriate.

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 is an 'Expert speech therapy assistant providing role-based guidance.' It specifies the target users (therapist, patient, parent/caregiver) and the adaptive nature. This distinguishes it from sibling tools like vocametrix_generate_exercises or vocametrix_assess_pronunciation, which are more specific tasks.

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 explains when to use the tool (for role-based guidance) and implies alternatives by its chat nature. However, it does not explicitly state when not to use it or name sibling alternatives. The context signals show many other tools, so some guidance on when to prefer this over others would be beneficial, but the description still provides clear usage context.

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