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WSLSnapit-MCP

WSLSnapit-MCP

by peterparker57
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
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read_clipboard

Access Windows clipboard content (text or images) from WSL environments to retrieve copied data for AI assistant processing.

Instructions

Read the current Windows clipboard content (text or image)

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "read_clipboard"
  }
}

Input Schema

NameRequiredDescriptionDefault
formatNoFormat to read from clipboard (auto=detect best format, text=force text, image=force image)auto

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the tool reads clipboard content but fails to describe important behaviors like whether it requires specific permissions, how it handles errors, what happens if the clipboard is empty, or the format of returned data. The description is minimal and lacks operational context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that directly states the tool's purpose without unnecessary words. It's appropriately sized for a simple tool, though it could be slightly more informative without sacrificing brevity.

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?

For a tool with no annotations and no output schema, the description is insufficiently complete. It doesn't explain what the tool returns, how errors are handled, or any operational constraints. Given the tool's potential complexity (reading both text and images from the clipboard), more context is needed for effective use.

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?

The input schema has 100% description coverage, fully documenting the single parameter 'format' with its enum values and default. The description adds no additional parameter semantics beyond what's in the schema, but since schema coverage is high, the baseline score of 3 is appropriate.

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 the specific action ('Read') and resource ('current Windows clipboard content'), specifying it handles both text and image formats. It distinguishes itself from the sibling tool 'take_screenshot' by focusing on clipboard access rather than screen capture.

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?

The description provides no guidance on when to use this tool versus alternatives, nor does it mention any prerequisites or context for usage. It simply states what the tool does without indicating appropriate scenarios or limitations.

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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