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

Beyond the readOnlyHint/openWorldHint/idempotentHint annotations, it discloses the crucial non-obvious behavior: the call returns step-by-step screens, buttons and fields, and 'opens nothing by itself' — so an agent knows the snooze does not actually happen until the browser tools run. It also pins down the verification date for its API/MCP claim, which explains the automation requirement.

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 two sentences (returns instructions, then use cotlet_browser_*) are front-loaded and earn their place. The trailing paragraph about Planning Center's REST API surface and MCP server is tangential and verbose, and the mention of 'ChatGPT, Claude or any AI agent' is boilerplate that adds nothing for the calling agent.

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 zero parameters and no output schema, the agent mainly needs to know what comes back and what to do next, and the description covers both (step-by-step instructions, then browser tools). It could go slightly further on what the returned instructions look like or how to hand off to cotlet_browser_open first, but it is essentially sufficient.

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 no parameter meaning to add. The description appropriately spends no space on argument semantics and instead covers invocation flow.

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 first sentence states a specific verb and resource (snooze a workflow card) scoped to the user's own Planning Center account, and the second sentence clarifies that the tool returns instructions rather than performing the action. That distinction sharply separates it from action-performing siblings like planning_center_complete_a_workflow_step, though the description never names a sibling to route against.

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 operational guidance: call this to get the steps, expect nothing to be opened by the call, then execute with the cotlet_browser_* tools in the user's Cloud Browser. The note that Planning Center's official MCP is mostly read-only implicitly justifies why browser automation is needed here. No explicit 'do not use when' exclusion is stated.

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