Skip to main content
Glama

browse

Accomplish a plain-English goal on a web page end-to-end: an automated Chrome agent performs every click and field entry, then returns status and final page content. Optionally open a URL first.

Instructions

Accomplish a plain-English goal on a web page end to end: a Jev-driven Chrome picks and executes every click and field at ~300 ms per step. Pass url to open a page, or omit it to continue in the current tab. Returns status (done | blocked | stuck | budget | timeout | error), the steps taken, and the final page: url, title, visible text, numbered elements. One call replaces a whole click-by-click session. Needs TYPESAFE_API_KEY and TEXT_MODEL_API_KEY.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoPage to open. Omit to continue in the current tab.
goalYesWhat to do and when to stop, e.g. 'Find the yearly price of the Pro plan; stop when it is visible'.
timeout_sNo
screenshotNoAlso return a JPEG of the final page.
max_actionsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.1

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses that the tool autonomously picks and executes clicks/fields, operates at roughly 300 ms per step, returns several statuses, and requires two API keys. It could add side-effect warnings for actions like form submissions or purchases, but it is substantially transparent.

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 compact and well structured: purpose first, then usage mode, return values, and prerequisites. Each sentence earns its place without repeating schema information unnecessarily.

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?

Given there is no output schema, the description usefully enumerates the return statuses and final-page fields, and it names the required API keys. It could further clarify the meaning of statuses like blocked/stuck/budget, but the overall picture is serviceable for a complex tool.

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

Parameters3/5

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

Schema coverage is 60%, and the description adds useful semantics for `url` by explaining that omitting it continues in the current tab. However, it does not add meaning for `timeout_s` or `max_actions`, leaving those to their names and schema defaults.

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 a specific capability: accomplishing a plain-English goal on a web page end to end via an autonomous Chrome agent. It also distinguishes itself from lower-level siblings by saying 'One call replaces a whole click-by-click session.'

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

Usage Guidelines4/5

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

The description gives clear usage context: pass `url` to open a page or omit it to continue in the current tab, and use it for end-to-end goals rather than individual click/type operations. It does not explicitly name alternatives or give when-not-to-use cases, so it stops short of a 5.

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