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Open a URL and receive a snapshot of its interactive elements, enabling direct browser automation without a server-side LLM.

Instructions

Open a URL and return a snapshot of the page's interactive elements.

Keyless — the calling AI drives the browser directly, with no server-side LLM. Follow up with snapshot/click/type_text/scroll/press_key to interact, and get_content to read the page as markdown. Stealth (Patchright) is applied.

Args: url: URL to open (http/https only) session_id: Persistent session to use (default: "default")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
session_idNodefault

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description carries the burden of behavioral disclosure. It mentions stealth (Patchright), keyless operation, and URL protocol restriction, which is useful context. However, it does not disclose page load timing, error behavior, or session lifecycle details beyond 'persistent session'.

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?

The description is concise and well-structured: three sentences plus args. It front-loads the primary purpose, then adds key traits and follow-up guidance. Every sentence earns its place with no redundant info.

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

Completeness4/5

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

For a two-parameter tool with an output schema, this is mostly complete: it covers purpose, key behavioral traits, session handling, and follow-up interaction tools. It lacks sibling differentiation and does not describe the output schema in prose, but the output schema itself is present, so this is acceptable.

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

Parameters5/5

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

Schema description coverage is 0%, so the description fully compensates by explaining both parameters: url is restricted to http/https, and session_id is a persistent session with a default value. This adds meaningful semantics beyond the bare schema.

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

Purpose4/5

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

The description clearly states it opens a URL and returns a snapshot of interactive elements, which is a specific action and result. However, it does not differentiate from the sibling tool 'browse', so there is a slight gap in distinguishing between similar tools.

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

Usage Guidelines3/5

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

It suggests follow-up tools and describes the keyless architecture, implying when to use it (direct AI-driven browsing) but does not explicitly state when NOT to use it or how it differs from 'browse'. There are no exclusions or named alternatives beyond the follow-up list.

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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