kalshi_trades

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

No annotations are provided, so the description carries the full burden. It mentions credential-free access and normalized data, which adds some behavioral context, but it does not disclose rate limits, pagination behavior, or any other operational traits beyond the schema.

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 short at two sentences, but the first sentence ('Kalshi trades.') is essentially a tautology of the tool name and could be removed. The second sentence is informative. Every word earns its place, but the structure could be improved.

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?

No output schema exists, yet the description does not explain the structure of the returned trades. It mentions 'normalized recent ... trades' but lacks details on the response format, making it incomplete for an agent to fully understand the tool's output.

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 coverage is 100%, with clear descriptions for all five parameters (cursor, limit, max_ts, min_ts, ticker). The tool description does not add extra meaning beyond the schema, so a baseline score of 3 is appropriate.

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 it returns normalized recent Kalshi market trades, using a specific verb and resource. It mentions recency and credential-free access, which helps distinguish it from sibling tools like kalshi_historical_trades, though it could be more explicit about the differentiation.

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 explicit guidance on when to use this tool versus alternatives such as kalshi_historical_trades. The description hints at recency and credential-free access but does not provide clear context or exclusions, leaving the agent to infer usage.

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