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

Annotations only declare readOnlyHint=false, openWorldHint=true, destructiveHint=false, so the description usefully adds that the verdict concerns the submitted series only and that the service never saw the data source, costs, survivorship, or lookahead. This is exactly the kind of limitation an agent needs. It stops short of stating permission requirements or whether calling it has side effects (notably, readOnlyHint=false is left unexplained).

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?

Front-loaded with purpose and output, and each sentence is short. The final two sentences overlap somewhat, both reassuring about what the verdict does not cover, which is mild redundancy rather than waste.

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?

An output schema exists, so return values need not be explained, and the description correctly delimits what the verdict does and does not assert. Given the single nested object parameter, this is nearly complete; only the missing sibling routing keeps it from a 5.

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?

One parameter with 100% schema description coverage, so the schema already carries the semantics. The description's mention of canli.paper-evidence.v0 simply restates the schema's own description and adds no new syntax or format detail.

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 names a specific verb and resource (validates a paper/simulated performance record against canli.paper-evidence.v0) and states the output shape (JSON pointer per failure). It does not, however, differentiate itself from the many sibling validate_* tools, leaving the agent to infer which validator applies.

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?

It clarifies scope by negation ('checks structure and required disclosures, not whether the returns are good'), which implies when the tool is appropriate. But it never names an alternative or states a positive trigger condition versus siblings like validate_track_record or validate_backtest.

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