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

No annotations are provided, so the description carries the full burden. It discloses meaningful behavioral traits: the return of an Ed25519-signed receipt and inclusion of the run's batch-sha256 attestation. The word 'snapshot' also implies a read-only, non-mutating operation, though this is not stated explicitly.

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 a single, well-structured sentence that front-loads the core purpose and packs in specifics without waste. Every clause contributes meaningful detail: panel size, surfaces covered, time scope, attestation, and receipt. This is an example of concise, efficient specification.

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?

The description covers key context: the fixed panel, the specific surfaces, the latest sealed day, the attestation, and the signed receipt. With no output schema, it could more explicitly describe the response payload structure beyond 'receipt', but for a one-optional-parameter tool with full schema coverage, it is largely 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?

The description does not mention the domain parameter at all, but the input schema's description covers it fully (100% coverage), explaining the filtering behavior and out-of-panel count=0. Since the schema already provides complete semantics, the description adds no extra parameter-level value, matching the baseline 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 identifies the tool as an adoption snapshot for agent-checkout discovery surfaces across a fixed 276-merchant panel, naming specific surfaces (ucp, llms.txt, agent cards, MCP documents). It does not explicitly differentiate from sibling tools like agent_census_stats or agent_attestation, so it lacks the explicit sibling distinction needed for a 5.

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 when to use the tool (when an agentic-commerce adoption snapshot is needed) but provides no explicit guidance on when not to use it or which sibling tools to prefer. The schema documents the optional domain filter, but the description itself does not discuss usage conditions or alternatives.

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