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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered, but the description adds nothing beyond the title — no return shape, no aggregation window, no indication of whether dates are inclusive or what happens with empty ranges. For a reporting tool with no output schema, that is a meaningful gap.

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 short sentence, front-loaded and free of padding. Its brevity is not the problem; the missing substance is scored elsewhere.

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 no output schema and no annotations covering results, the description is the only place an agent could learn what the response contains, and it says nothing. An agent cannot tell whether it will receive totals, time series, or per-version breakdowns.

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%, with all three required parameters (articleId, startDate, endDate) documented in the schema itself, so the baseline is 3. The description adds no extra meaning about date format edge cases, inclusivity, or maximum range.

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 verb and resource ('Get analytics data for an article'), which is slightly more informative than the bare title, but it never says what analytics are returned (views, reads, engagement) or over what granularity. The sibling get_knowledge_base_analytics is distinguishable only by the noun 'article' in the tool name, not by anything in the description.

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?

There is no guidance on when to call this versus get_article, list_article_versions, or get_knowledge_base_analytics, and no mention of constraints such as date-range limits or prerequisites. The agent must infer everything from the tool name.

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