wordnet_lookup

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

No annotations exist, so the description carries the burden; it does disclose the data source (NLTK) and the categories of information returned, and 'lookup' implies a read-only operation. However, it says nothing about behavior for unknown/OOV words, offline dictionary availability, or how results are truncated — gaps that matter for a lookup tool.

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 compact sentence with the resource and source front-loaded; no filler or redundant restatement of the tool name.

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?

An output schema exists, so return-value detail is not required, and the description already sketches what is returned. For a simple two-parameter read lookup the only real hole is the undocumented max_synsets parameter.

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% and the description only implies the 'word' parameter must be an English word. The 'max_synsets' parameter (default 5) is never mentioned, so an agent learns nothing about limiting or truncating results from either the schema or the description.

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?

Names a specific resource (WordNet synsets, definitions, synonyms, hypernyms) for a specific input type (an English word) and names the backing library (NLTK). It is clearly distinguishable from siblings like wordnet_similarity or seme_lookup, though it never explicitly contrasts with them.

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?

Usage is only implied: an agent can infer this is the tool for looking up word meanings, but nothing says when to prefer it over seme_lookup or wordnet_similarity, nor are any prerequisites or exclusions stated.

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