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

Annotations already declare readOnlyHint and openWorldHint, so the description adds value by noting the 1.00 USDC cost and the 'not financial advice' caveat. It does not explain whether repeated calls re-charge or what the side effects of payment are, but it does not contradict 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 three short fragments, each carrying relevant information: what the tool produces, its sources, its price, and a disclaimer. There is no filler or redundant wording.

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 zero-parameter, read-only, open-world tool with no output schema, the description gives the essential context: domain, sources, and price. It leaves the output format implied, but that is a minor gap for such a simple digest tool.

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 tool has zero parameters, so the input schema is complete and there is nothing for the description to explain. Baseline 4 applies because parameter semantics are not needed.

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 identifies a specific resource: a prediction-intel digest sourced from Polymarket and Kalshi. It is clear enough to distinguish from sibling tools like pair_digest, though it lacks an explicit action verb or direct statement of what the tool returns.

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 guidance about when to use this tool versus alternatives. The description does not mention sibling tools, conditions, exclusions, or any decision criteria beyond the implied domain of prediction-market intelligence.

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