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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is fully covered. The description adds the aggregation behavior (grouping by day/week/month) and optional filters, which is useful. It does not disclose details like default date ranges or whether empty buckets are included, but the annotations carry the main behavioral burden.

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?

A single, well-structured sentence that front-loads the core purpose and then lists the key options. No wasted words; every phrase earns its place.

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 read-only aggregation tool with a 100%-covered schema and an output schema present, the description is nearly complete. It could explicitly mention the default date range (30 days ago to now) or the sibling raw-log tool, but those are minor gaps given the schema and annotations already provide the necessary 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?

Schema description coverage is 100%, so the schema already documents all five parameters. The description adds the notion of aggregation and filtering but does not add meaning beyond what the schema provides. Baseline 3 is appropriate because the schema does the heavy lifting.

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 ('Get'), a specific resource ('aggregated request-log statistics for a LinkedIn account'), and the grouping dimensions ('day, week, or month') with optional filters. It clearly distinguishes this from the sibling get_account_request_logs, which presumably returns raw logs rather than aggregated statistics.

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 when to use this tool: when aggregated statistics are needed, as opposed to raw logs. It names the grouping options and filters, giving clear context. However, it does not explicitly state when not to use it or name the sibling alternative (get_account_request_logs) as the raw-log counterpart.

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