Low Risk

fact_check

fact_check

How to control fact_check ↓

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

Low Risk

Fact-checking typically retrieves or validates information against data sources without creating, modifying, or deleting data. The sibling tools (academic_search, analyze_document, analyze_file, ask_*) are all read-only query operations, suggesting this server's tools are primarily for information retrieval. Empty description reduces confidence, but the name and context strongly suggest a Read classification.

From the tool's definition Tool name 'fact_check' indicates a querying/verification operation with no mutation capability. Description is empty, limiting confidence.

Documented attack patterns abuse exactly the kind of access fact_check gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Proxima, and nothing reaches the server without passing your rules. This is the rule we recommend for fact_check:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "fact_check": {}
  }
}

fact_check is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Proxima — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Go deeper

What does the fact_check tool do? +

fact_check. It is categorised as a Read tool in the Proxima MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on fact_check? +

Register the Proxima MCP server in PolicyLayer and add a rule for fact_check: 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 Proxima. Nothing to install.

What risk level is fact_check? +

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

Can I rate-limit fact_check? +

Yes. Add a rate_limit block to the fact_check 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 fact_check completely? +

Set action: deny in the PolicyLayer policy for fact_check. 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 fact_check? +

fact_check is provided by the Proxima MCP server (zen4-bit/proxima). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Proxima tool call.

Deterministic rules across all 50 Proxima tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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50 Proxima tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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