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camoufox-mcp

camoufox-mcp

by ccostello97
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

browser_type

Type text into a browser element, appending to existing content, with an optional Enter key press to submit.

Instructions

Type text into an element (appends to existing)

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "ref": "<ref>",
      "text": "<text>"
    },
    "name": "browser_type"
  }
}

Input Schema

NameRequiredDescriptionDefault
refYesElement reference from snapshot
textYesText to type into the element
submitNoWhether to press Enter after typing

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior2/5

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

No annotations exist, so the description bears full responsibility. It discloses the append behavior but omits key traits: whether the element must be focused, what happens if the element is not interactive, and the optional submit action (pressing Enter) is not mentioned in the description. The description is too sparse to adequately inform an agent about side effects or requirements.

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 with no extraneous words. It front-loads the action and immediately clarifies the key differentiator. Every word earns its place. It is a model of brevity for the core purpose.

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

Completeness3/5

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

Given the tool's low complexity (3 parameters, no nested objects, no output schema) and strong schema coverage, the description provides adequate core information. However, it lacks mention of the submit behavior and does not reference the source of the ref parameter (from browser_snapshot). Completeness is acceptable but not thorough.

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 description coverage is 100%, so the baseline is 3. The description adds no parameter-specific information beyond the schema; it does not explain how the ref relates to the snapshot or that submit triggers a form submission. The description does not degrade or improve parameter understanding.

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 explicitly states the verb 'Type' and the resource 'an element', and adds the critical behavioral distinction '(appends to existing)'. This clearly separates it from sibling tool browser_fill, which presumably replaces text. The purpose is unambiguous and well-differentiated.

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?

The description implies when to use this tool (when appending text) via the parenthetical note, but it does not explicitly state when to use alternatives (e.g., browser_fill for overwriting) or provide any exclusions. The guidance is implied rather than direct, leaving the agent to infer the distinction.

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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