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

Annotations only declare readOnlyHint=true, so the description carries the behavioral burden and does so well: it discloses the score's inputs (endorsements, propagated trust, credential bonus, interaction proof) and, critically, the withheld/null outcome below 3 independent non-seed endorsers, plus the seed-agent exception. It stops short of stating freshness, caching, or whether repeated calls are stable, which is why it is not a 5.

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 core paragraph is front-loaded and each sentence earns its place, describing composition then edge-case behavior. The trailing 'Args: did: ...' block is redundant with the input schema and could be dropped, which keeps it from a 5.

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?

With an output schema present, the description needn't explain return shapes, and it covers the one genuinely surprising outcome (withheld score) plus the seed-agent carve-out. For a single-parameter read tool this is nearly complete; only freshness/versioning of the score is unaddressed.

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% and the single parameter is fully documented. The description's Args block restates the schema text verbatim (including the example DID), adding no semantics beyond what the structured field already provides, so baseline 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?

States a specific verb+resource: it returns the Swarm Intelligence Trust Score for a given agent, and the 'Phase 2' label plus the named score inputs give it a concrete identity. It does not explicitly distinguish itself from nearby siblings like moltrust_reputation or moltguard_score, so an agent must infer which score to call.

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?

Usage is implied rather than stated: score an agent's trust when you have a DID. The threshold behavior ('fewer than 3 independent endorsers' → withheld) quietly signals when the tool is useful versus premature, but there is no explicit when-to-use/when-not or named alternative among the many sibling scoring tools.

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