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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does reveal that the tool aggregates multiple sources and how the score is composed, which is useful. But it does not disclose whether this involves external API calls, expected latency, failure modes, whether it is strictly read-only, or what the returned score range/meaning is. For an unannotated tool, this is a meaningful gap.

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 compact and the substantive information is front-loaded: rug-pull risk score and source methodology. It wastes little space, though the 'x402-token-rugcheck:' prefix redundantly repeats the tool name before adding new information.

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?

The tool has no output schema and no annotations, so the description must explain more than it does. It omits the output format or scoring scale, does not clarify how to populate the two optional-looking parameters (token vs address), and lacks any guidance relative to the many token-analysis siblings. The source aggregation detail is helpful, but not sufficient for an agent to confidently invoke this tool in all realistic cases.

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 schema already provides descriptions for both parameters, so schema coverage is 100% and the baseline is 3. The description adds no additional parameter-level meaning beyond what the schema states. The schema's own descriptions ('Token to process', 'Address to process') are generic and do not clarify format, which parameter takes priority, or whether both are required together, but the description does not make these gaps worse either.

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 identifies the tool's purpose: returning a rug-pull risk score by aggregating honeypot.is and GeckoTerminal data. This goes beyond the tool name by specifying the output type and data sources. However, it does not explicitly distinguish itself from similar sibling tools like x402-token-risk-report or x402-token-security, 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 this tool: when an agent needs a rug-pull risk assessment for a token. The 'rug-pull risk score' phrasing provides contextual intent. However, there is no explicit guidance about when not to use it, which sibling tools to prefer for broader token risk or security checks, or what inputs are expected in which scenarios.

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