acronym_generate

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

No annotations are provided, so the description carries the full burden. It does disclose the key behavioral choice ('optionally skipping small words'), but for a pure text transform there is little risk to disclose, and it omits output formatting details (uppercase, punctuation, handling of non-letter tokens).

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?

A single clause-dense sentence with the core action front-loaded and the optional behavior appended. No filler.

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 deterministic transform with no output schema and no annotations, the description covers input intent but says nothing about the returned form (e.g., 'NASA' vs 'N.A.S.A.', casing, list vs string). Adequate but with a clear minor gap.

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 both parameters ('text' and 'include_small_words') are already documented, including the default of false. The description's mention of 'phrase' and 'small words' mirrors the schema without adding format or edge-case semantics.

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 uses a specific verb ('Generate') and resource ('acronym from a phrase'), so the agent knows exactly what the tool produces. There is no near-identical sibling (nearest neighbours like nato_convert or phonetic_spell do different transforms), so explicit differentiation is unnecessary.

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?

No guidance on when to use this versus alternatives (e.g., nato_convert, morse_convert, phonetic_spell) or any prerequisites. Usage is only implied by the purpose statement.

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