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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds useful context about what is actually counted (tracked events and outbound clicks) but says nothing about result ordering, grouping, truncation, or what happens when a site has no events, so it adds only modest value beyond the annotations.

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 defining the two data families returned and the payload shape; there is no filler, hedging, or restatement of the name/title.

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, the description carries the burden of describing the return shape, and 'with counts and their properties' is only a hint. It does not clarify whether rows are grouped per event name, how outbound clicks are mixed with custom events, or how results are ordered, which matters for an 8-parameter analytics query whose schema is otherwise rich.

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% and each of the 8 parameters (period/from/to interplay, filters syntax, limit cap of 100, site_id source, timezone, segment_id) is fully documented in the schema itself. The description contributes no parameter-level meaning, so the baseline 3 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?

States a specific verb+resource (get events) and pinpoints the data source: custom events sent via pagelens.track plus outbound clicks, returned with counts and properties. That is materially clearer than a bare 'get events', though it never distinguishes itself from siblings like get_breakdown, which accepts an 'event' dimension and could return overlapping 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?

Usage is only implied: the phrase 'custom events ... and outbound clicks' tells the agent this is the analytics query for event data, but there is no explicit when-to-use, when-not-to-use, or named alternative. The overlap with get_breakdown (which lists 'event' as a filter dimension) is left unresolved, so the agent must guess.

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