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

Annotations already cover read-only safety, so the description correctly focuses on what the operation returns. Because there is no output schema, the detailed enumeration of computed metrics is valuable transparency. It still does not clarify date-range semantics, default space behavior, or how 'live' is defined.

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 a single dense sentence with no filler, and every listed metric appears relevant to the tool's purpose. It is somewhat run-on and does not front-load a clear verb, but the information is appropriately sized for a stats tool with no output schema.

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 full schema coverage and no output schema, the description does the important work of enumerating what is computed. The main remaining gap is usage context and filter semantics, but an agent can still understand what the tool returns and which optional filters it accepts.

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 baseline semantics are already supplied by the input schema. The description only restates that space, label, and date range are optional and adds no syntax, defaults, or filtering nuances 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?

The description makes the resource and metric set very concrete: counts by status/type/source/month, averages, distributions, favorites, imports, drafts, and per-label stats. It is clearly an aggregate testimonial-statistics tool. It does not explicitly distinguish itself from siblings such as get_account_overview, so it falls short of 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?

The only usage-related text is 'Optional space, label and date range,' which describes filters rather than when to choose this tool over alternatives. There is no explicit when-to-use guidance and no exclusion or alternative named despite nearby sibling tools like get_account_overview and list_testimonials.

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