athena_equivalence_snapshot

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does reveal an important behavioral trait: only witnessed contradiction-free equivalence components are collapse-safe, and UNKNOWN/conflict preserves identities. However, it does not disclose side effects (e.g., whether a snapshot is persisted, whether state is mutated) or return behavior, leaving notable gaps.

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 compact at two sentences and front-loads the primary purpose in the first sentence. The second sentence adds a critical safety-related behavioral note, so every sentence earns its place. However, the dense jargon reduces clarity slightly, preventing a perfect score.

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 lack of annotations, absence of an output schema, and sparse input schema, the description is far from complete. It leaves unresolved key contextual details such as the structure of candidate objects, the role of context_id, side effects of taking a snapshot, and the format or semantics of the result. The cryptic phrasing ('witnessed', 'collapse-safe') further limits an agent's ability to invoke it confidently.

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 description coverage is 0%, and the description adds essentially no meaning beyond the parameter names. 'candidates' is only mentioned as 'supplied candidates' with no explanation of item structure or requirements, and 'context_id' is not mentioned at all. The description fails to compensate for the schema's lack of parameter documentation.

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 uses a specific action verb ('Construct') and identifies the resource ('contradiction-aware equivalence components') and scope ('over supplied candidates'), giving a clear sense of the tool's core operation despite heavy jargon. It does not explicitly distinguish from sibling tools like athena_equivalence_state or athena_equivalence_observe, but the focus on constructing components from candidates provides reasonable differentiation.

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?

No explicit guidance is given about when to use this tool versus the many sibling equivalence- or state-related tools. The caution about 'collapse-safe' components implies a safety consideration, but there is no direct statement of context, prerequisites, or alternatives, leaving the selection largely to inference.

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