get_odds_categories

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

With no annotations provided, the description fully discloses the tool's behavior: it lists categories, returns a string array, and requires no parameters. There are no hidden or unexpected side effects, and the description is honest and complete.

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 concise with two sentences, no wasted words. It is front-loaded with the main purpose and immediately provides return type and usage hint. Every sentence adds value.

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, no output schema, and no parameters, the description covers all necessary aspects: what it does, what it returns, and how to use the result. It is complete and leaves no ambiguity.

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 input schema has no parameters, and the description correctly states 'No parameters required,' adding clarity beyond the schema. The description ensures the agent knows no input is needed, which is valuable.

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 lists all available prediction market event categories, provides examples (crypto, politics, sports), and specifies the return type (array of category name strings). It effectively distinguishes from sibling tools like get_odds_event_list which uses these categories as a filter.

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 explicitly tells the agent to use the returned category values in the 'get_odds_event_list' tool, providing clear downstream usage context. However, it does not mention when not to use this tool or suggest alternatives, though alternatives may not be necessary.

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