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babelwrap

io.github.soulfir/babelwrap-mcp

by babelwrap

babelwrap_click

Click web elements by describing them in natural language, allowing AI agents to interact with browser content through simple, descriptive commands.

Instructions

Click an element on the page using a natural language description.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
session_idYesThe active session ID.
targetYesNatural language description of the element to click (e.g. "the Login button", "first search result"). TIP: Pass an element ID from a previous snapshot (e.g. "btn-login", "input-email") to bypass LLM resolution entirely for instant, deterministic targeting.
compactNoIf True, return a compact snapshot with minimal whitespace.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

The description does not disclose important behavioral traits such as whether the tool waits for the element, scrolls into view, or handles missing elements. With no annotations provided, the description carries the full burden, and this brief text is insufficient.

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 a single sentence that directly states the tool's purpose. It is front-loaded, concise, and contains no unnecessary information.

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

Completeness2/5

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

Given the tool's complexity (clicking via NL, many siblings, output schema present), the description is too terse. It does not mention return values, error handling, or prerequisites, leaving significant gaps for an agent to invoke the tool correctly.

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 100%, so the baseline is 3. The description adds no extra parameter meaning beyond the schema; the useful TIP about element IDs is already present in the schema's target description. Therefore, the description does not improve understanding beyond what the schema provides.

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 the tool's action ('Click') and target ('an element on the page'), and hints at the unique feature of using natural language. However, it does not explicitly differentiate from sibling tools like babelwrap_fill or babelwrap_hover, which also take natural language targets.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives like babelwrap_submit or babelwrap_press. The description only tells what the tool does, not the context for its use. The TIP in the 'target' parameter about using element IDs is a usage hint but not about tool selection.

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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