observe_environment

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

With no annotations provided, the description carries the full burden. It discloses important behavioral traits: the 1 DAC cost, auth token requirement, version history, and trial limitations. However, it does not mention return format, side effects, or error behavior, so the disclosure is partial.

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 three sentences, each informative: purpose, cost/auth, and payment/trial info. It is front-loaded with the core functionality and contains no redundant phrases or excessive detail.

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, the description lists what will be returned (active agents, decisions, density), which is helpful. It also covers cost, auth, and trial limitations. Missing specifics like response formatting or error handling, but for a simple observation tool this is reasonably complete.

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 coverage is 100%, so the schema already fully documents auth_token and payment_signature. The main description mentions 'requires auth_token' and 'paid via x402', but these do not add semantic meaning beyond what the schema provides, yielding the baseline score of 3.

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 observes aggregate environment statistics, with specific examples (active agents, total decisions, activity density). This distinguishes it from sibling tools like observe_pattern or get_environment_anomaly by scope and subject, satisfying the 'specific verb+resource+scope' criterion.

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 context about cost and auth token requirements but does not explicitly state when to use this tool versus alternatives or mention any exclusionary criteria. The usage is implied (observe environment stats), but no direct contrast with sibling tools is given.

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