list_categories

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

There are no annotations, so the description carries full responsibility for disclosing behavior. It does strongly indicate a read/browse/search action and gives an example of the output form. However, it says nothing about how the limit parameter behaves, whether the empty search returns all categories, or if the list is sorted—a moderate gap for a read-only tool with no pre-existing annotation context.

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 entire description fits into two sentences and carries immediate value. The first word is the primary verb, a concrete example is embedded naturally, and the final sentence tells exactly what to do with the result. No repetition or filler—every clause earns its place.

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 that an output schema exists, the description does not need to explain return fields. It sufficiently covers what the tool's purpose, how to invoke it, and how to apply results in the broader tool set. The only real gaps are the unresolved semantic of the limit parameter and some search matching details, which lower the score from a perfect 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 must take on the burden of explaining parameters. It gives an example of what 'search' is for ('coffee' -> category path) and implies 'browse' covers the limit case, but it never mentions the limit parameter by name or explains its behavior. With only 2 parameters, both undocumented at schema level, a clear explanation of one is not enough; this is a meaningful gap.

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 starts with a specific verb and resource: 'Browse/search Google Trends category ids.' It gives a concrete example ('coffee' -> Food & Drink > Coffee & Tea) and explicitly explains its output is used by passing the id to other tools. This clearly distinguishes the function from its trend-analysis siblings, which operate on time series and related terms.

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 states when to use the tool: when you need category IDs to narrow other tools' results. It does not explicitly mention when not to use it or name alternate siblings like suggest_keywords, but the use case is clear enough. It provides a strong implication of usage but leaves exclusions and alternatives unstated.

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