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xxxbrian
by xxxbrian

http_get

Perform HTTP GET requests with support for custom headers, authentication, proxy, and query parameters. Bypass anti-bot measures for realistic website interactions.

Instructions

Make an HTTP GET request to the specified URL

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesURL to send the request to
authNoAuthentication credentials
proxyNoProxy to use for the request
queryNoQuery parameters as [[key, value], ...]
cookiesNoCookies to include in the request
headersNoHeaders to include in the request
basic_authNoBasic auth credentials as [username, password]
bearer_authNoBearer token for authentication
max_redirectsNoMaximum number of redirects to follow
allow_redirectsNoWhether to follow redirects
force_store_response_contentNoForce storing response content regardless of size

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.1

TDQS

C2.1/5.0
Behavior1/5

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

No annotations are provided, and the description does not disclose any behavioral aspects. It does not state that GET is read-only, how redirects or auth are handled, or what happens with response content. The description is silent on side effects and safety.

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, focused sentence with no redundant information. It is concise and efficiently communicates the core action, though it could be slightly more informative without becoming verbose.

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

Completeness1/5

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

The description lacks essential context for an agent. It does not explain how the response is returned or stored, how to access response content (especially given sibling get_stored_response tools), or any error-handling behavior. This makes the tool incomplete from a usability standpoint.

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 schema provides descriptions for all 11 parameters, achieving 100% coverage. The description itself adds no extra semantic detail beyond the schema, so a baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action (make an HTTP GET request) and the object (specified URL). However, it lacks any contextual distinction from sibling tools (e.g., other HTTP methods or response retrieval tools), so the purpose is clear but minimal.

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

Usage Guidelines1/5

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. It does not mention that responses are stored and may be retrieved via get_stored_response, nor does it discuss any preconditions or typical use cases.

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