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

With no annotations, the description carries the full burden of behavioral disclosure. It reveals the high-level matching behavior but says nothing about the output format, score range, normalization, matching rules, or whether partial keyword matches count. This is a meaningful gap for a scoring tool.

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 short and front-loaded, with no wasted sentences. The only minor redundancy is 'Answer Score' restating the tool name, but the rest is efficient.

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?

No output schema and no annotations mean the description must explain return values and parameter roles; it does neither. The tool is conceptually simple, but an agent cannot determine the scoring output format or correctly choose among four unspecified parameters, so the description is incomplete.

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 descriptions are generic boilerplate ('Input to process', 'Content to process'), and the description does not map the answer/keywords roles to the four parameters. It's unclear whether 'input' or 'content' is the answer and whether 'label' or 'labels' are the expected keywords, leaving parameter selection ambiguous.

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 a specific verb and resource: 'Score an answer against expected keywords.' This clearly conveys the core function. However, it doesn't explicitly differentiate itself from sibling scoring tools like x402-content-score or x402-f1-score, so it stops short of full sibling differentiation.

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 implies when to use the tool — when you have an answer and expected keywords to score it against. But it offers no explicit guidance, no exclusions, and no mention of alternative tools, so an agent must infer the appropriate context.

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