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

Annotations provide minimal info (readOnlyHint=false, openWorldHint=true, destructiveHint=false). The description adds behavioral context by explaining it's a guide, covers specific topics, and costs 2 MESH/call. It implies no side effects but could be more explicit about not modifying state.

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 description is concise, well-structured, and front-loads the core purpose. Each clause provides distinct value: definition, coverage, target audience, and cost. No wasted words.

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 simple educational tool with no output schema, the description is largely complete. It covers what the tool is, what it includes, and who should use it. It could optionally mention return behavior, but that's not critical for a guide.

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 a detailed description of the `input` parameter, though it's abstract. The tool description does not add any parameter-specific guidance, leaving the baseline at 3. The input payload format remains unclear for this particular tool.

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 identifies the tool as a plain-language guide to using an AI browser agent, covering specific areas (agent-to-person and agent-to-agent work) and getting started. It distinguishes itself from sibling tools by being educational rather than operational.

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 description states it's 'Perfect for anyone new to agentic tools,' giving a clear target audience and implicit use case. It does not explicitly contrast with alternatives, but the educational nature is self-evident and the cost info adds practical context.

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