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

The readOnlyHint annotation already establishes this is a non-destructive read, so the description only needs to add context. It adds that results are row-level rather than aggregated, but says nothing about pagination behavior, result caps, or ordering — notable given page/limit parameters exist.

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 short clauses that front-load the core purpose followed by the disambiguating contrast. No filler, no restatement of the title, and the endpoint reference is compact.

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 8 all-optional filters, 100% schema coverage, and no output schema, the definition covers purpose adequately but leaves the shape of a returned event row and pagination semantics unexplained. For a list tool with no output schema, a sentence on the result payload would close the remaining gap.

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 every parameter including event, interval, linkId, customerId, start/end, page and limit is already documented. The description adds no syntax, format, or interaction detail (e.g., interval vs start/end precedence) beyond that baseline.

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 (list) and resource (individual click/lead/sale events) and explicitly differentiates itself from aggregate analytics, which distinguishes it from the sibling dub_get_analytics. The appended 'Dub: GET /events' endpoint reference anchors the operation precisely.

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 phrase 'rather than aggregates — the row-level detail behind the analytics' tells the agent when this tool is appropriate versus summary reporting, which is clear implicit routing. It never names the alternative tool (dub_get_analytics) or lists exclusions, so it stops short of a 5.

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