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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description still adds non-derivable behavior: the tool returns step-by-step UI instructions (screens, buttons, fields) and performs no action itself, plus a freshness note ('checked 17 Oct 2026'). That is real added value beyond the structured fields.

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 (returns instructions, opens nothing, then use cotlet_browser_*) is stated compactly, but 'from ChatGPT, Claude or any AI agent' is filler and the closing API/MCP comparison is tangential marketing context that dilutes the actionable content. Leading with the imperative 'Set notification recipients' before revealing it is read-only also forces a re-read.

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 tool with no output schema, the description covers what is returned (step-by-step screens/buttons/fields), what is not done (nothing opened or changed), and the follow-up path through the browser tools. A short example of the returned guidance format is the only real 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?

The tool takes zero parameters, so the baseline is 4 and there is nothing for the description to compensate for. The description correctly implies no inputs are needed to obtain the guidance.

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 names a specific verb and resource (set notification recipients in the user's Jotform account) and then corrects the natural reading of that name by stating it 'Returns how to do it in Jotform step by step ... and opens nothing by itself.' That clarification is essential and present, but it arrives after the misleading imperative phrasing, so the true nature of the tool (an instructional/guidance tool, not a mutator) is not front-loaded.

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 gives clear usage context: this returns guidance for the user's own Jotform account, and the follow-up action is to execute it 'with the cotlet_browser_* tools in the user's Jotform Cloud Browser.' It never states when NOT to use it (e.g. when the REST API or hosted MCP server is preferable), so the exclusions are only implicit.

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