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

With no annotations, the description carries the full burden and discloses a key behavioral trait: it requires a paid observation (3 DAC) and returns 402 with payment terms first, implying a two-step flow. It does not detail what happens after successful payment, but the payment behavior is a significant transparency win.

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 two sentences, front-loaded with the core purpose, and each sentence earns its place. No fluff or repetition.

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 the paid nature and lack of annotations/output schema, the description adequately covers the payment flow and scope. It could be more explicit about what the successful response contains, but the tool is simple and the 402 flow is explained well.

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 provides 100% coverage with clear descriptions for both parameters (auth_token and payment_signature). The tool description's mention of 'Paid observation' adds context around the payment_signature parameter, but it doesn't supplement the schema's parameter descriptions beyond that, so the baseline of 3 is appropriate.

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 function with a specific verb ('Observe') and resource ('decision metadata distribution'), enumerating the exact breakdown fields (decision_class, target_class, decision_trigger, human_involvement) and scope ('your branch-1 decisions'). This distinguishes it from sibling tools like get_self_classification_distribution.

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 clear context about the paid nature and the 402 payment flow, which is essential usage guidance. However, it does not explicitly contrast with alternatives or state when not to use the tool, so it falls short of a 5.

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