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

Annotations already declare readOnly, idempotent, non-destructive, and closed-world, so safety is covered. The description adds real behavioral context beyond that: the 92-day maximum window, that results are aggregate counts with no message text, and that output is filtered by the organization's AI access and privacy settings, so team phone numbers may be hidden. That last point is valuable because it explains missing or anonymized fields the agent might otherwise treat as an error.

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?

It is a single dense sentence that front-loads scope and then lists the metrics, with no filler. The trailing privacy parenthetical earns its place by preventing misinterpretation of hidden fields. Slightly list-heavy, but nothing is redundant.

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?

With an output schema present, the description does not need to document the return shape, yet it still summarizes the metrics, which aids tool selection. It covers the date-window constraint and the privacy caveat, leaving only the third parameter's role and any per-teammate scoping/ranking behavior 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?

Schema description coverage is 0%, so the description must carry the parameter meanings. It does define the date-range semantics (window of up to 92 days) for from/to, but never mentions group_id, leaving it unclear whether that parameter narrows the report to a single group or changes the grouping of results. Partial compensation only, hence a 3.

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 names the exact resource (per-teammate activity within the organization's own WhatsApp groups) and enumerates the returned measures: messages written, groups active in, first/last message time, median response time, and share of requests answered within 1 hour. That is far more specific than the title. It does not use a clear action verb or explicitly distinguish itself from nearby tools such as get_group_activity, get_message_stats, or get_period_report, so a 4 rather than a 5.

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?

Usage is only implied: an agent can infer this is the tool for per-person engagement metrics, and the 92-day cap plus 'counts only; no message text' effectively rule out message-content use cases. However, there is no explicit statement of when to prefer it over get_group_activity or get_message_stats, and no prerequisites or exclusions are stated.

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