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

The annotations already declare readOnlyHint=true, idempotent=true and destructive=false, and the description is consistent with them by stating it 'opens nothing by itself.' It adds useful context beyond the annotations: what the return payload contains (step-by-step screens/buttons/fields) and why the browser tools are the execution mechanism (no Thought Industries MCP server exists).

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 in the first sentence, which is good. But there is filler ('from ChatGPT, Claude or any AI agent') and a dated API aside ('checked 23 Oct 2026') that adds length without helping the agent choose or invoke the tool.

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?

There is no output schema and no parameters, so the description carries most of the burden for explaining the return shape and the handoff to browser tools, and it does address both. The remaining gap is that an agent has no guidance on how learner/course identity gets conveyed downstream, nor how this tool relates to the other Thought Industries enrollment tools in the sibling set.

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?

This tool takes zero parameters, so the baseline is 4. The description implies the guide is generic task instructions rather than target-specific, which is coherent with an empty schema, though it never explicitly says that no learner or course identifier is needed at this step.

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 task (enrolling a learner in a course) and then precisely clarifies the actual behavior: it returns step-by-step instructions (screens, buttons, fields) and performs no action itself. That resolves the mismatch between the action-sounding title and a read-only guide, though it never explicitly differentiates this guide from siblings like thought_industries_add_learner_to_waitlist or cotlet_app_guide.

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 a clear two-step workflow: call this to get the steps, then execute them with cotlet_browser_* tools in the Cloud Browser. It stops short of saying when to prefer this over the other Thought Industries enrollment-adjacent siblings (waitlist, import_and_invite, list_learners), so sibling routing is left to inference.

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