vocametrix_generate_exercises

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

With no annotations, the description fully shoulders behavioral disclosure. It describes the output structure (instructions, target phonemes, difficulty, tips) and that exercises are tailored. However, it does not mention any side effects, error handling, prerequisites, or constraints (e.g., parameter validation behavior). This is adequate but not comprehensive.

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 consists of two concise sentences. The first sentence clearly states the action and tailoring criteria, and the second describes the output. Every word serves a purpose, no fluff, and it is front-loaded with the primary function.

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 lack of output schema, the description adequately explains the return value (structured exercises with specific elements). It covers the key input categories (patient profile, pathology, language) and outputs. For a tool with 4 parameters and no output schema, this is sufficient for an agent to understand usage.

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% with individual parameter descriptions. The tool description adds value by specifying the output format (structured exercises with specific components) beyond the schema. While not all parameter nuances are elaborated, the description enhances understanding of the tool's purpose and output.

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 it generates personalized speech therapy exercises tailored to patient profile, pathology, and language. It mentions the output includes instructions, target phonemes, difficulty level, and tips, which differentiates it from sibling tools like vocametrix_generate_therapy_plan (which generates a broader plan) and vocametrix_adapt_exercise (which adapts existing exercises).

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 implies use when needing tailored exercises for a patient, but does not explicitly state when to use this tool versus alternatives like vocametrix_generate_therapy_plan or vocametrix_adapt_exercise. No when-not-to-use guidance is provided, and the context must be inferred from sibling names.

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