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

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true, so the safety profile is covered. The description adds the return fields and exchange context, but no deeper behavioral details like rate limits, ordering, or pagination. This adds minimal value beyond the annotations.

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 two concise sentences, front-loaded with the core action and return data, followed by a targeted use case. Every word earns its place; no redundancy or fluff.

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?

Despite having an output schema and annotations, the description fails to explain the parameters count and since, which are essential for correct invocation. The tool's purpose is clear, but operational completeness is lacking for an agent to use it correctly without additional inference.

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%, so the description carries the burden for explaining parameters. It only implicitly covers 'pair' via 'a pair' and completely omits 'count' and 'since'. Without these semantics, an agent cannot reliably construct requests with those optional parameters.

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 'Kraken crypto exchange recent trade tape for a pair' with specific fields (price, volume, timestamp, buy/sell, market/limit). This is a specific verb+resource combination that distinguishes it from sibling tools like ohlc, depth, and 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?

The description explicitly states 'Use for tick-level execution analysis,' providing clear context for when to choose this tool. It does not explicitly mention alternatives or exclusions, but the use case is specific and informative enough to guide selection.

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