vocametrix_interpret_spelling_attempt

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

With no annotations, the description bears full behavioral burden. It mentions returned data (matches, explanation, guidance) but lacks details on output format, error handling, or constraints (e.g., handling of non-letter sounds). Moderate transparency.

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?

Two sentences, no fluff, front-loaded with purpose. Every sentence adds value.

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 tool with no output schema and no annotations, the description adequately covers purpose and outputs. However, it could mention return type (e.g., JSON object) to improve completeness. Sibling context helps.

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 descriptions already clarify 'transcription' and 'targetWord'. The description adds little beyond stating 'STT system heard (the spoken spelling)', so baseline of 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?

Description clearly states the verb 'Interpret' and resource 'speech-to-text transcription of a spelling attempt'. It specifies what it returns (matches, explanation, correction guidance), and distinguishes from sibling tools like assess_pronunciation or transcribe_audio by focusing on spelling attempts.

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?

Explicitly states 'Useful for spelling therapy apps where children spell words aloud', providing context. However, it does not explicitly mention when not to use it or compare to alternatives like vocametrix_assess_pronunciation.

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