kalshi_market_orderbook

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

No annotations are provided, so the description fully bears the burden. It mentions that results are 'normalized' and from 'public orderbook JSON,' but it does not explain the return structure, any side effects, authorization requirements, or rate limits. Minimal behavioral 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?

A single 17-word sentence that is front-loaded and contains no filler. Every word contributes to the purpose.

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?

For a simple tool with one parameter and no output schema, the description is moderately complete. It states the output (normalized yes/no bid levels) but does not describe the output structure or format, leaving an agent without full context. Adequate but improvable.

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% (ticker described as 'Kalshi market ticker'). The description adds that it is 'one' ticker and from public data, but this adds minimal meaning beyond the schema. Baseline score of 3 applies.

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 normalized yes/no bid levels for one Kalshi market ticker from public orderbook JSON. It distinguishes from sibling tools like kalshi_markets_orderbooks (plural) by specifying 'one' ticker.

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 (e.g., kalshi_market or kalshi_markets_orderbooks). The purpose implies it is for a single market orderbook, but no when-not-to or exclusion criteria are stated.

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