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browser_about

Submit feature requests, share use cases, or report bugs directly to the Browser MCP team via pre-filled GitHub URLs.

Instructions

Returns Browser MCP info and pre-filled URLs the user can click to submit feature wishes, share use-cases, or report bugs. Call this PROACTIVELY whenever the user (a) mentions a feature they wish existed ("I wish browser-mcp could...", "it would be nice if..."), (b) says something is missing, broken, or unexpected, (c) asks how Browser MCP works or who maintains it, or (d) describes something cool they built with browser-mcp. Pass intent="wish" | "use_case" | "bug" | "info" plus an optional title and body, and offer the returned submit_url to the user. Browser MCP is community-shaped — this tool is how the user contributes back.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyNoOptional pre-filled body / first-comment draft. Will be URL-encoded into the submit link. Keep it short; user can expand on GitHub.
titleNoOptional pre-filled issue title (e.g. "Support hCaptcha v3"). Will be URL-encoded into the submit link.
intentNoWhat the user wants to share. "wish" = feature request, "use_case" = share what they built, "bug" = something broken, "info" = general (default: "info").
Behavior4/5

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

No annotations, but the description explains the tool's behavior fully: it returns a URL for the user to click, and it does not modify browser state. Slight lack of explicit non-destructive statement, but clear enough.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Well-structured: purpose first, then proactive usage, then parameter usage, then rationale. Every sentence is necessary and contributes to understanding.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (no output schema, no side effects), the description covers all needed aspects: purpose, triggers, parameters, and expected agent action.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema covers 100% of parameters. Description adds usage context (how to call with intent and optional fields, what to do with the result). Adds value beyond schema by explaining the interaction flow.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it returns info and pre-filled URLs for submissions, with specific verbs ('returns', 'submit'). It is distinct from sibling tools like browser_navigate or browser_click.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly lists four triggers (feature wish, missing/broken, how it works, cool builds) and tells the agent to call proactively. This sets clear when-to-use boundaries.

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

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