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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states 'Submit a trust rating' without indicating side effects such as permanence, overwriting previous ratings, authentication requirements, or whether the rating is one-way. Since this is a write operation, the agent would benefit from knowing if it can be undone or if it requires prior registration. The description lacks these details.

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 concise, with a clear two-sentence summary followed by a structured argument list. The purpose is front-loaded, and the parameter list is easy to scan. No extraneous words. It earns a 4 because it is efficient without being overly terse.

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 simple three-parameter tool with an output schema, the description is mostly adequate. It covers the purpose and parameters. However, it omits behavioral context such as whether the rating is permanent, whether it can be updated, and any prerequisites (e.g., both agents must be registered). Given that no annotations exist, these missing details make the description incomplete for an agent that needs to understand side effects before invoking the tool.

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 so by explaining each parameter: from_did (the rater), to_did (the rated agent), and score (with a range from 1 to 5). This adds meaning beyond the schema, which only lists types. The description also clarifies the semantic of the score ('untrusted' to 'highly trusted'), which is helpful. It could add constraints like DID format or registration requirements, but the provided explanations are solid.

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 ('Rate another AI agent') and the resource (an AI agent), with a concise summary ('Submit a trust rating from one agent to another'). It is specific and not a tautology. However, it does not explicitly differentiate from sibling tools like mt_endorse_agent or moltrust_reputation, which might have overlapping purposes. The name 'moltrust_rate' and the 1-5 star scale make it fairly distinct, so a 4 is appropriate.

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 on when to use this tool versus alternatives. It does not mention prerequisites (e.g., whether agents must be registered) or conditions under which rating is appropriate. It simply describes the operation. An agent would have to infer usage from the context, and with many sibling tools, this lack of explicit routing is a gap.

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