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Windows Developer MCP Server

Windows Developer MCP Server

by peeyushcodes
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

http_get

Perform HTTP GET requests to test APIs and web endpoints. Supports custom headers and timeouts, returns response body up to 10,000 characters.

Instructions

Perform an HTTP GET request and return the response.

Useful for testing APIs and web endpoints. Response body is truncated at 10,000 characters.

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": {
      "url": "<url>"
    },
    "name": "http_get"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlYesThe URL to request.
headersNoOptional request headers.
timeoutNoRequest timeout in seconds (1–60). Default: 10.

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.9/5.0
Behavior3/5

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

The description discloses a key behavioral trait: the response body is truncated at 10,000 characters. With no annotations provided, this is helpful, but it does not cover other potential behaviors like error handling or redirects, leaving gaps.

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 two concise sentences with no fluff. It front-loads the core purpose and adds the truncation caveat efficiently.

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

Completeness5/5

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

The tool is low in complexity, the schema fully describes parameters, and an output schema exists to detail return values. The description covers the essential purpose and a key behavioral limitation, making it sufficiently complete.

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 already provides complete descriptions for all three parameters (url, headers, timeout) with 100% coverage. The tool description adds no additional parameter semantics, so the schema does the heavy lifting.

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 performs an HTTP GET request and returns the response, with a specific verb and resource. It does not explicitly differentiate from similar sibling tools like fetch_page or check_url, so it falls short of a 5.

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?

"Useful for testing APIs and web endpoints" provides a clear context for when to use this tool. However, it does not mention alternatives or exclusions, so it is not fully explicit.

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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