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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is established. The description adds meaningful operational context: conversation-scoped default, org-wide opt-in, 30-day cap, returned row fields, and errorMessage semantics. It does not contradict any annotation.

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 scope, then layers in return fields, errorMessage detail, cap, and sibling differentiation. Every sentence contributes useful information for correct invocation or routing. It is dense without being padded.

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 filtered list tool with full annotation coverage and no output schema, the description supplies the missing return-field information and scope semantics. It also explains the operation-ledger versus activity-feed distinction that an agent needs for tool selection. Nothing essential is missing.

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 documents limit, since, and allMySessions. The description mostly restates the since and allMySessions semantics and omits limit entirely, so it adds little beyond the structured parameter descriptions. Baseline 3 is appropriate when the schema carries parameter meaning.

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: list MY recent tool invocations, identified as AiOperation rows. It explicitly distinguishes this from the sibling list_recent_activity by table, question, and scope. An agent can tell what it does and how it differs from alternatives without opening the schema.

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 an explicit use case, agent-restart introspection, and explains the default conversation scope versus the allMySessions=true widening behavior. It also names the alternative list_recent_activity and contrasts the different questions each tool answers. This is clear when-to-use and when-to-prefer-another guidance.

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