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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds useful context about data vintage and refresh cadence, but it does not elaborate on output format or potential staleness/error conditions. There is no contradiction with 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?

One short sentence with no filler or repetition of the tool name. The key information—what data attribute is exposed—is front-loaded with 'vintage' followed by refresh cadence.

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 parameterless read-only status tool, this is nearly sufficient: it states the output topic and refresh behavior, and annotations cover side-effect safety. It leaves slight ambiguity about how 'vintage' is expressed and does not mention no-data or error cases, but those are minor.

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 zero parameters and schema description coverage is 100%, so there are no parameter semantics to clarify. The baseline of 4 applies, and the description implies this is a zero-input status read.

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 states that the tool reports the vintage of loaded price data and its refresh frequency, identifying a specific informational resource. It lacks an explicit verb like 'returns' or 'reads,' and 'vintage' is slightly jargon-like, but the meaning is clear and distinct from sibling tools.

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?

There is no explicit guidance about when to call this tool or when to prefer siblings such as list_assets or run_dca. The use case is implied from the description—checking price-data freshness—but no exclusions or alternatives are mentioned.

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