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

The annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds useful behavioral context beyond annotations: newest-first ordering, before→after values, inclusion of account actions, and cursor-based pagination. It does not specify rate limits or richer auth details, but it is substantially informative for a read-only audit tool.

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 front-loaded with the core purpose and packs the key filter dimensions and pagination guidance into two dense but efficient sentences. Every clause earns its place, and there is no repetition or filler.

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 12-parameter audit tool with no output schema, the description covers purpose, return content, ordering, and pagination, which is strong. It does not fully enumerate every filter parameter or explain the kind/limit semantics, so small gaps remain, but 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?

With only 25% schema description coverage across 12 parameters, the description must compensate, and it does: it explains filtering by table, record, person (actor_id), operation, source, text search, and time range. It omits some parameter names and the cursor name mismatch ('next_cursor' vs schema 'cursor'), but overall it gives meaningful semantics beyond the sparse schema.

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 states a specific verb and resource: an audit trail of who changed what across the workspace. It distinguishes the content types (data changes vs account actions), ordering (newest first), and access level (administrators), giving an agent a clear picture of the tool's scope.

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 usage for administrators auditing workspace activity and lists filter dimensions, but it does not explicitly say when to choose this tool over siblings such as activity_summary or record_history. There is no when-not guidance or named alternative, leaving the selection context to inference.

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