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

The annotations already signal read-only, idempotent, and non-destructive behavior. The description adds useful context beyond those annotations by disclosing the $0.02 per-call cost and the specific MSS v2 scoring methodology. No contradiction with the annotations exists.

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 concise sentence with the cost front-loaded, followed by the action and expected output range. It contains no filler, tautology, or redundant schema content.

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 description says the tool scores 'any model profile,' but the input schema only accepts an optional payment parameter, making it unclear how the model profile is selected or provided. There is no output schema, and the response payload beyond the 0-850 score is not described. The two-step payment flow appears only in the parameter description, leaving important operational detail out of the main description.

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 only parameter, payment, is fully documented in the input schema, including the two-step flow of calling once without it to receive requirements and retrying with the proof. Since schema description coverage is 100%, the description does not need to add much parameter-level detail.

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 ('score any model profile') and what is returned: an MSS v2 model strength + sovereignty score in a 0-850 range. This is specific enough to separate it from the listed sibling tools, though it does not explicitly name a differentiating alternative.

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 the sibling tools like agent_discovery or agent_research. The phrase 'score any model profile' implies a broad use case but provides no selection criteria, exclusions, or context about when this scoring is appropriate.

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