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@guardbee/mcp-security-proxy

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rug_pull_detector__baseline_server

Connect to an MCP server, capture its current tools/list response, and save it as a trusted baseline to detect future tool drift. Run once after reviewing and approving the server's tools.

Instructions

Connect to an MCP server (stdio command or Streamable HTTP URL), read its current tools/list response, and store it as the trusted baseline for future drift checks. Call this once, right after you've reviewed and approved a server's tools.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cwdNoWorking directory for the spawned process
envNoExtra environment variables for the spawned process
urlNoURL of a Streamable HTTP MCP server (alternative to command/args)
argsNoArguments for the stdio command
labelNoStable identifier for this server, used to look up its baseline. Defaults to the command line or URL.
commandNoCommand to spawn for a stdio MCP server (e.g. "npx")

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.1.1

TDQS

A4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose the operation flow (spawn stdio or hit HTTP, read tools/list, persist as trusted baseline) and that it should be called once. However it omits what happens on a repeat call (overwrite? error?), auth/network requirements for HTTP, and the side effect of spawning a process, leaving meaningful behavioral 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?

Two tightly written sentences with no filler, and the core operation is front-loaded ahead of the usage instruction.

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

Completeness4/5

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

For a baseline-storing tool with no output schema and no annotations, the description conveys the purpose, connection modes, and call timing. It stops short of describing lifecycle behavior on re-invocation and what is returned, which would matter for an agent managing state.

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 schema already documents all six parameters in detail. The description only adds the framing that stdio command/args or a Streamable HTTP URL are the two connection modes, which is marginal added meaning. Baseline 3 applies when the schema does the heavy lifting.

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?

States specific verbs (connect, read, store) and a specific resource (an MCP server's tools/list response as a trusted baseline). An agent can distinguish it from sibling check_server (drift detection) and list_baselines (enumeration) purely from the description.

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?

Explicit timing guidance: 'Call this once, right after you've reviewed and approved a server's tools,' which establishes the precondition and implies it precedes future drift checks. It does not explicitly name check_server as the follow-up alternative, so it falls short of full when/when-not/alternatives coverage.

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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