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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, openWorld=false), but the description adds non-obvious behavioral context: the return value is procedural instructions, the tool performs no side effects, and execution is handed off to the cotlet_browser_* family. The API-limitation note adds further context absent from structured fields. It does not describe how detailed or long the returned steps are.

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?

The core behavior is front-loaded and dense with useful information, but 'from ChatGPT, Claude or any AI agent' is filler about the client rather than the tool. The closing 'Plausible's official API: Plausible has an official API, but a limited one (checked 22 Oct 2026)' is a fragment that repeats itself and reads as bolted-on justification.

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?

For a zero-parameter, read-only guidance tool with no output schema, the description covers what it returns, what it does not do, and where to go next. An agent has enough to call it correctly and route the follow-up work. Minor gap: no sense of what the returned steps look like in shape or length.

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?

The tool takes zero parameters, which is the baseline-4 case; there is nothing for the description to disambiguate. The description is consistent with a no-argument call.

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?

Names a specific verb and resource ('Get traffic sources') and immediately clarifies an important non-obvious fact: the tool returns a step-by-step guide (screens, buttons, fields) rather than fetched data. That resolves the mismatch between the name and the actual behavior. It stops short of distinguishing itself from plausible_get_site_stats or plausible_get_top_pages, so sibling differentiation is only partial.

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?

Gives a clear workflow: call this to get instructions, then perform the action with the cotlet_browser_* tools in the user's Plausible Cloud Browser, and states explicitly it 'opens nothing by itself.' The note that Plausible's official API is limited supplies the rationale for using this path. It does not state when not to use it, nor how it relates to the other plausible_* read tools.

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