activity_timeline

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

Read-only nature is indicated by '[READ]', but no annotations exist. Description does not mention side effects, rate limits, data freshness, or output structure. Additional context like 'Op counts' being aggregated is helpful but leaves gaps for an AI agent.

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?

Description is very short (two lines plus args list) and front-loaded with purpose. Every sentence is useful, though it could be expanded slightly for completeness without becoming verbose.

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 tool with 3 optional parameters, no annotations, and no output schema, the description explains core function and parameters but omits return format, examples, or edge cases. It is adequate for a simple monitoring tool but lacks full context.

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?

Input schema has no descriptions (0% coverage). The description adds meaning: 'since / until: ISO timestamps bounding the period' and 'bucket: "hour" or "day"', which clarifies the parameters' types and allowed values beyond the 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?

Description clearly states verb '[READ]' and resource 'Op counts bucketed by hour/day'. It specifies the purpose as 'monitoring-continuity evidence', differentiating it from sibling tools like query_audit_events that likely provide raw event details.

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?

Implicitly suggests use for monitoring via 'monitoring-continuity evidence' but lacks explicit when-to-use vs alternatives, when-not-to-use, or any exclusion criteria. No comparison to siblings is provided.

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