fuzzy_search

A read tool on the Mcpg MCP server.

SERVERMcpg SOURCEpypi:mcpg

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-devopam-mcpg/fuzzy-search.md

WHAT IT DOES

What fuzzy_search does on Mcpg

AI agents call fuzzy_search to retrieve information from Mcpg without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why fuzzy_search is rated Low

Fuzzy search is a query/retrieval operation that finds approximate matches in data. Without evidence of modification, deletion, or execution of arbitrary code, this falls under Read. The empty description and naming conventions on a PostgreSQL MCP server (similar siblings like analyze_query_plan, analyze_lock_hotspots) reinforce this is a read-only analytical or search function.

From the tool's definition Tool name 'fuzzy_search' indicates a search operation, which retrieves or queries data without side effects. The description is empty, limiting confidence.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs fuzzy_search safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Mcpg, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For fuzzy_search, this is the rule to start with:

fuzzy_search Allowed

fuzzy_search is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "fuzzy_search": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Mcpg, apply this rule, and every fuzzy_search call is checked against it from then on.

FAQ

Questions about fuzzy_search

What does the fuzzy_search tool do? +

fuzzy_search is a read tool on the Mcpg MCP server. It is categorised as a Read tool in the Mcpg MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on fuzzy_search? +

Register the Mcpg MCP server in PolicyLayer and add a rule for fuzzy_search: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mcpg. Nothing to install.

What risk level is fuzzy_search? +

fuzzy_search is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit fuzzy_search? +

Yes. Add a rate_limit block to the fuzzy_search rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block fuzzy_search completely? +

Set action: deny in the PolicyLayer policy for fuzzy_search. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides fuzzy_search? +

fuzzy_search is provided by the Mcpg MCP server (pypi:mcpg). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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