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

readOnlyHint=true already establishes this is a safe read. The description adds that omitting names returns all events with a 1000 cap, which is useful behavioral context, but it doesn't cover paging, result ordering, or how counts are grouped.

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?

Two tight sentences front-load the purpose and the key argument behavior, followed by the underlying API path. No filler; only the raw endpoint line is arguably expendable.

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?

No output schema exists, and while 'how often' hints at counts, the description never confirms the return shape (counts keyed by event name) or ordering. For an 18-parameter tool the description is adequate but leaves return semantics to inference.

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% across 18 parameters, so the schema already documents everything. The description only reinforces the names default and adds the 1000-event cap, which is a modest increment over structured data.

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?

Clearly states a specific verb and resource: counting how often custom events occurred on one website in a date range. It distinguishes from siblings by semantics (events vs. stats/breakdown/timeseries) though it never names them explicitly.

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?

It explains the names argument semantics (pass names, or omit for all events) but gives no guidance on when to choose this tool over simpleanalytics_get_stats or simpleanalytics_get_breakdown. Usage is implied rather than contrasted.

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