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

No annotations are provided, so the description must carry the transparency burden. It clarifies that the output is a summary rather than raw data, but does not disclose potential limitations such as data freshness, permissions, or that results are a natural-language interpretation rather than exact figures. The read-only nature is implied by 'Get' but not stated explicitly.

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 one concise sentence that front-loads the core action and key attributes (natural language, 7-day window, trends). Every phrase adds value, and there is no redundancy.

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 simple read-only summary tool with one parameter and no output schema, the description conveys the essential behavior and scope. It could optionally include return format details, but the core purpose is sufficiently clear without them.

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 sole parameter site_key is fully described in the schema (100% coverage), so the baseline is 3. The description adds no extra parameter-level context beyond what the schema already provides, but no additional clarification is necessary for a single self-explanatory parameter.

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 identifies a specific verb ('Get'), a specific resource ('natural language summary of site analytics'), and a defined scope ('last 7 days, including week-over-week trends'). This distinguishes it from sibling tools like get_site_analytics, which likely provides raw data rather than a synthesized narrative.

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 gives clear context about what the tool does but does not explicitly state when to use it over alternatives like get_insights or get_site_analytics. The phrase 'natural language summary' implies a use case, but there is no explicit when-not or alternative mention.

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