browse_screenshot
Screenshot the current page; returns a base64 PNG ({screenshot_b64, bytes}).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| full_page | No | capture the full scrollable page | |
| browser_id | Yes | from browse_open |
Screenshot the current page; returns a base64 PNG ({screenshot_b64, bytes}).
| Name | Required | Description | Default |
|---|---|---|---|
| full_page | No | capture the full scrollable page | |
| browser_id | Yes | from browse_open |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, establishing a safe, non-mutating profile. The description adds the return format but does not mention any side effects, authentication needs, or limitations beyond the annotations. This adds moderate value.
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 a single sentence that immediately states the action and return format. No unnecessary words; it is front-loaded and fully informative in minimal space.
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 lack of an output schema, the description explicitly defines the return structure ({screenshot_b64, bytes}). For a simple tool with two parameters and clear semantics, this provides adequate context. A minor omission is the meaning of 'bytes' (likely file size), but overall sufficient.
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 coverage is 100%, with descriptions for both parameters (full_page, browser_id). The description does not elaborate on parameter usage beyond the schema, so it meets the baseline without adding extra semantics.
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 captures a screenshot of the current page and returns a base64 PNG. This distinguishes it from sibling tools like browse_extract (text extraction) or browse_snapshot (likely similar but not explicitly differentiated). However, it does not explicitly contrast with alternatives.
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 no guidance on when to use this tool versus alternatives like browse_snapshot or browse_evaluate. It merely states the function without context for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Many tools serve similar purposes (e.g., web_read vs browse_read, web_discover vs browse_discover, research vs web_search + browse). Descriptions help differentiate, but the overlap is notable.
Most tools use a consistent verb_noun snake_case pattern (e.g., archive_message, browse_navigate). Minor deviations like standalone 'browse' and 'identity' are acceptable.
57 tools is very high for a single server, even with discover_tools. The broad domain coverage does not justify the count; it feels overloaded.
Covers identity, memory, browsing, human tasks, errands, messaging, and research comprehensively. Minor gaps might exist (e.g., no explicit agent-to-agent contract tools), but core workflows are well-supported.