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

The readOnlyHint annotation already establishes that this is a safe read operation, and the description adds useful behavioral context: it specifies 'actually clicked' URLs, ranks by click count, and mentions optional event-type filtering. It does not cover auth or rate limits, but the annotation lowers that burden and the description adds meaningful context beyond the schema.

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 with no filler. The core result and ranking criterion are front-loaded, followed by the optional filter and the intended use case. Every clause earns its place.

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?

Given the annotations, full parameter documentation, and presence of an output schema, the description is nearly complete for a filtered read-only analytics tool. It adds the click-semantics and intent clearly, though explicit guidance on selecting this over similar analytics siblings would fully round it out.

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 each parameter already documented including defaults, enum values, and date-range patterns. The tool description only restates the optional event-type filter and does not add meaningful parameter-level detail beyond the input schema.

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 states what the tool returns—URLs users actually clicked inside the embed, ranked by click count—and identifies the resource as user-click data. This is distinct enough from siblings like get_top_cited_sources, though it does not explicitly name an alternative tool to differentiate from.

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 final sentence gives a practical use case ('see what users find useful enough to click through to'), which implies when to use the tool. However, no explicit when-to-use or when-not-to-use guidance is provided, and no sibling alternatives such as get_top_cited_sources or get_top_searches are mentioned.

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