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 and does substantial work. It reveals that the tool fetches external content, runs a security audit, conditionally issues a W3C VC using Ed25519, and may require a $5 USDC payment via x402. It could add failure behavior or what happens when score < 70, but it discloses the most operationally critical traits.

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 efficiently structured: a one-line summary, then a compact workflow explanation, then an Args list. Every sentence provides useful information without padding. The most important trigger conditions and the payment caveat are disclosed early.

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 tool with no annotations, no schema descriptions, and an output schema present, the description covers the core semantics, parameters, payment, and cryptographic format. It omits some edge details like the exact response contents or error behavior for score < 70, but these are secondary given the output schema and the level of detail already provided.

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 description coverage is 0%, so the description must compensate. It does by explaining author_did as 'DID of the skill author' with an example, and repository_url as 'URL to the skill repository or SKILL.md'. These meanings are absent from the schema's bare string types, giving the agent enough to supply correct values.

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 states the tool's specific action: issuing a VerifiedSkillCredential for an AI agent skill. It goes beyond a simple label by describing the workflow (fetch SKILL.md, run security audit, issue if score >= 70), which distinguishes it from siblings like mt_skill_audit and mt_skill_verify.

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 provides clear context for when to use the tool: to issue a credential after an audit passes a 70-score threshold, with a payment requirement when a paywall is active. It does not explicitly name when-not-to-use alternatives, but the workflow makes the intended use case clear relative to audit/verify siblings.

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