chrome-debug-mcp

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

With no annotations provided, the description carries the full burden. It discloses behavioral traits like focusing the element and simulating native typing, but lacks details on error handling (e.g., if selector fails), timing, or side effects. It adequately describes the core behavior but misses advanced context.

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 two sentences, front-loaded with the main purpose and followed by implementation details. Every word earns its place with zero waste, making it highly efficient and easy to parse.

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?

Given the tool's moderate complexity (DOM interaction with two parameters), no annotations, and no output schema, the description is reasonably complete. It covers the action, target, and method, but could improve by mentioning return values or error cases. It's sufficient for basic use but not exhaustive.

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%, so the schema already documents both parameters ('text' and 'selector') fully. The description adds no additional meaning beyond what the schema provides, such as formatting examples or constraints, meeting the baseline for high coverage.

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 states the specific action ('Fills an input field'), the resource ('in the DOM'), and the mechanism ('using a CSS selector' and 'simulates native typing'). It distinguishes itself from siblings like 'click_element' or 'evaluate_js' by focusing on text input simulation.

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 implies usage for input field interactions but does not explicitly state when to use this tool versus alternatives like 'evaluate_js' for programmatic input or 'click_element' for focusing. No exclusions or prerequisites are mentioned, leaving usage context somewhat open-ended.

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