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

No annotations are provided, so the description carries the full behavioral disclosure burden. It states the tool returns metrics but does not explicitly confirm it is read-only, mention authentication requirements, rate limits, or any side effects. The description adds minimal behavioral context beyond the output content.

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 exceptionally concise, using two sentences to convey purpose and return contents. The primary purpose is front-loaded, and every word adds value without redundancy. It is well-structured for quick parsing.

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 zero-parameter stats tool with an output schema present, the description fully covers what an agent needs to know to invoke it correctly. It lists the expected metrics and the tool's scope, leaving no ambiguity about its functionality or expected return.

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?

There are zero parameters, so the schema coverage is inherently 100%. The description does not need to explain parameters, and the baseline for 0 params is 4. It appropriately omits parameter details since none exist.

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 'Get MolTrust network statistics' and enumerates specific metrics returned (registered agents, credentials issued, ratings, health metrics). It distinguishes itself from sibling tools like moltrust_credential or moltrust_rate by being the aggregate stats endpoint.

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 implies usage for retrieving overall network health metrics but does not explicitly state when to prefer this over alternatives or provide exclusions. It gives no guidance on context or when not to use it, leaving the agent to infer based on the tool name and purpose.

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