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

The readOnlyHint annotation already signals a safe read operation, lowering the bar. The description adds useful detail about what stats are included but does not explain behaviors like time ranges, caching, or how 'recent activity' is defined. It is adequate but not richly transparent.

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, front-loaded sentence identifies the resource and immediately lists the key stat categories. There is no redundancy or wasted wording.

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 parameterless, read-only dashboard aggregate, the description provides enough category-level detail for an agent to understand what will be returned. The terms 'analyses' and 'recent activity' are slightly vague, and there is no output schema, so a bit more precision about returned fields could strengthen completeness.

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?

The tool has zero parameters and the schema fully covers this with an empty properties object. With no parameters to document, the description does not need to compensate for schema gaps, so the baseline of 4 applies.

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 clearly states the tool retrieves organization-level dashboard stats and enumerates the included categories: watchlist size, viral post counts, analyses, and recent activity. This differentiates it from sibling tools like get_my_account_stats, which target account-level data.

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 use for organization-wide aggregate statistics, which gives clear context against account-specific siblings. It does not explicitly name alternatives or state when not to use this tool, but the organization versus my-account distinction in the description provides reasonable guidance.

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