get_prediction_markets

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

No annotations provided, and the description fails to disclose behavioral traits such as read-only nature, potential rate limits, or data freshness. The agent cannot assess side effects or required access levels.

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 very concise (5 words), which is efficient but under-specifies crucial information. It is front-loaded but lacks enough content to be useful.

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?

With 2 parameters, no output schema, and 80+ sibling tools, the description is severely incomplete. It omits return values, error cases, and integration context, making it nearly unusable for correct invocation.

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 adds no meaning to parameters 'limit' and 'topic' beyond their names. No format, constraints, or examples are given, forcing the agent to guess valid inputs.

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 'Polymarket + Kalshi + Azuro odds.' hints at getting odds from these prediction markets, but lacks a clear verb (e.g., 'Get', 'Fetch') and does not distinguish from sibling tools like 'get_funding_rates' or 'get_sentiment' which are also market-related.

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?

No guidance on when to use this tool versus alternatives. The description does not mention use cases, prerequisites, or exclusions, leaving the agent to infer its purpose from the name alone.

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