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

The description goes well beyond annotations. It discloses that the tool 'writes a pending record to the public registry pipeline' (a mutation, consistent with readOnlyHint=false), emphasizes the need to ask the user, and explains the nature of the result (signed score report, no verdict). This adds significant behavioral context beyond the generic 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 a single focused paragraph of three sentences. Every sentence carries essential information: the registration requirement, the pending-write behavior with user-consent instruction, and the non-certification caveats. There is no filler or redundancy.

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 registration tool with no output schema and relatively low annotation richness, the description covers all critical aspects: what it does, why registration matters (registry weight), the pending nature, the user-consent requirement, what Tier 0 does/doesn't provide, and the scope of the score report. This is comprehensive for the tool's complexity.

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 100%—every parameter has a detailed description. The tool description mentions 'model (name and version)' and 'operator (name and email),' but this only restates what the schema already conveys. It adds no extra parameter-level semantics, so the baseline score of 3 applies.

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 action ('Register a model') and the target (AIO Tier 0 measurement), and it explicitly distinguishes this from certification with 'Tier 0 does not certify.' The title reinforces the purpose, and the description is specific enough to differentiate from sibling tools like verify_certification.

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: registration is required for a measurement to carry weight, and it instructs 'ask the user before calling it.' It implicitly tells you when not to use it (not for certification or legal conformity) but does not explicitly name alternative tools, so it stops short of fully explicit alternatives.

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