suggest_similar_functions

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

No annotations are provided, so the description must convey behavioral traits. It mentions 'fuzzy matching' but does not disclose whether the tool is read-only, has rate limits, or any side effects. The trait is minimally informative.

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 a single sentence with no extraneous words. It is concise, though it could be slightly more structured with examples or bullet points. No waste.

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 simple functionality (one parameter, fuzzy matching), the description is adequate but lacks details about the output schema (which exists) and how results are presented. It does not cover return value format or any additional context.

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 0%, so the description should add meaning to the 'query' parameter. It only mentions 'query' and 'fuzzy matching' without specifying format, examples, or what kind of input is expected (e.g., function name, partial name).

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 finds Wolfram functions similar to a query using fuzzy matching. It specifies both the action (find similar) and the resource (Wolfram functions), and the mention of 'fuzzy matching' distinguishes it from exact search tools like search_function_repository.

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 usage for finding similar functions but does not explicitly state when to use it versus alternatives like search_function_repository or resolve_function. No 'when-not' guidance is provided.

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