Browserbase MCP Server

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes key behavioral traits: it returns detailed information about elements (properties, location, interaction capabilities), emphasizes that specificity improves accuracy, and positions it as a preparatory step for crafting actions. However, it lacks details on potential limitations like timeouts, error handling, or performance implications.

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 well-structured and front-loaded with core purpose and usage guidelines. Most sentences earn their place by clarifying scope, distinguishing from siblings, or explaining behavioral aspects. It could be slightly more concise by trimming repetitive emphasis on specificity, but overall it's efficient and focused.

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 complexity of web element observation, no annotations, and no output schema, the description does a good job covering purpose, usage, and behavioral context. It explains what the tool returns and how to use results. However, it lacks details on output format or potential edge cases, leaving some gaps for an agent to fully understand the tool's behavior.

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%, providing a solid baseline. The description adds some value by reinforcing the importance of specific instructions ('The more specific your observation instruction, the more accurate the element identification will be') and framing the 'instruction' parameter as guiding the tool's 'eyes' on the page. However, it doesn't significantly expand on parameter meaning beyond what the schema already documents.

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 tool's purpose with specific verbs ('observes and identifies') and resources ('interactive elements on the current web page'), and explicitly distinguishes it from sibling tools by contrasting with 'extract tool' for text content extraction and positioning it as preparatory for 'act tool' actions. It defines the scope as actionable elements like buttons, links, form fields, etc.

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 provides explicit guidance on when to use this tool ('when you need to locate elements before performing actions with the act tool') and when not to use it ('DO NOT use this tool for extracting text content or data - use the extract tool instead'), directly naming alternatives. This clearly differentiates it from sibling tools like extract and act.

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