get_categories

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

With no annotations, the description carries the burden of disclosing behavior. It states the tool is 'Free' and describes the returned data fields, but it does not mention response structure, pagination, or any operational constraints. For a simple parameterless read-only tool, this is adequate but not rich.

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 extremely concise, with the core purpose front-loaded ('Category index with...'), followed by a separate 'Free.' sentence that adds cost context. Every word earns its place, making it efficiently 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 the tool's simplicity (zero params, no annotations, no output schema), the description covers the essential return content and cost. It could be more explicit that it returns a list, but 'index' implies that. For a tool this simple, the description is sufficiently complete.

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?

The tool takes zero parameters, so there are no parameter semantics to clarify. The baseline for 0 params is 4, and the description adds no conflicting information.

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 the tool returns a category index with specific fields (opportunityCount, topScore, lastUpdated), which distinguishes it from sibling tools that focus on opportunities or demand gauges. It is more specific than a mere restatement of the name, though it lacks explicit differentiation from siblings.

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 this tool is for retrieving category-level aggregated data, but it provides no explicit when-to-use guidance or exclusions. Sibling tools are clearly different in focus, so the context implicitly suggests usage, but no direct alternatives are mentioned.

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