count_syllables

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

No annotations provided, so description carries full burden. It states basic behavior (counts syllables) but does not disclose handling of edge cases (hyphenated words, numbers), language assumptions, or algorithm type. Minimal 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 plus a parameter list. Purpose is front-loaded in first sentence. No wasted words. Efficient and 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 simplicity (one param, output schema exists), description covers purpose, usage context, and parameter. Missing details on return value format (though output schema may cover) and multi-word phrase handling, but overall adequate.

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 has no description for the 'text' parameter (0% coverage). Description adds 'The word or phrase to count syllables in', which provides basic meaning but lacks constraints on length, allowed characters, or whitespace handling. Barely compensates.

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 verb 'Count' and resource 'number of syllables in a word or phrase'. It specifies use cases (poetry, readability, linguistics) which distinguishes it from sibling tools like word_count or analyze_readability.

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?

Description gives explicit use contexts (poetry, readability, linguistic applications) but does not mention when not to use or suggest alternative tools. The guidance is clear but lacks exclusion criteria.

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