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

With no annotations, the description carries the full transparency burden. It usefully discloses that results are enumerated from revising events and that a genesis log returns an explanation rather than a bare 'nothing drifted' assertion, but it does not state read/write semantics, permission needs, pagination, or response shape.

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 definition is a single sentence with little wasted length, but it is syntactically dense and front-loads a difficult noun phrase rather than a clear action. Its compactness comes at the cost of readability.

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?

For a three-parameter tool with no annotations, no output schema, and zero schema description coverage, the description is insufficient. It adds one important edge-case behavior but leaves parameter usage and return behavior largely unexplained.

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 schema has three parameters (after, limit, identifier) with 0% description coverage, and the description does not explain any of them. It neither clarifies the pagination cursor format, the result limit, nor what the identifier selects.

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 indicates that the tool returns past dated answers invalidated by a publisher revision, sourced from the log's revising events. However, the wording is opaque and relies on unexplained domain terms like 'drift,' 'genesis log,' and 'revising events,' so an agent cannot confidently distinguish it from siblings such as diff, changes_in_period, or timeline.

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 gives no explicit when-to-use guidance, prerequisites, or alternatives. It mentions a genesis-log edge case, but that is behavioral detail rather than routing guidance for choosing this tool over related history or diff tools.

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