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

With no annotations, the description carries full burden and discloses key behaviors: it is a deterministic, recomputable decision (not an LLM opinion), requires payment (x402) for attest, and produces signed outcomes. It does not explicitly state side effects or authentication requirements beyond wallet, but provides substantial context.

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 overly verbose and promotional (e.g., 'the agent economy is missing'), burying key operational details in a sales pitch. It would benefit from being front-loaded with a concise function summary and separating hype from actionable instruction.

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?

Given no output schema and zero parameters, the description effectively explains the tool's purpose, workflow, and expected outcomes (signed decision types). It provides enough context for an AI agent to understand how to integrate it into a multi-step process.

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 input schema has 0 parameters with 100% coverage, so baseline is 4. The description does not add parameter information because there are no parameters to document, but it appropriately describes the overall API flow.

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 tool's role as a 'release-condition oracle' that determines if a delivery meets a committed spec, producing a signed clearing decision. However, it does not explicitly differentiate this tool from siblings like aicom_attest or aicom_verdict, leaving some ambiguity for an AI agent.

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 a clear sequence of steps (commit, attest, verify) and indicates when to use it (machine-checkable criteria) and when not (human-review band). However, it does not name alternative sibling tools for different scenarios, which would further clarify usage.

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