Low Risk

detect_drift

DRIFT DETECTION — audit a batch of AI-stated facts against live ground-truth in one call. Pass claims (a list of statements an LLM produced) or text (a paragraph that's split into claims); each is fact-checked and graded — drifted / confirmed / unverifiable, with a severity — plus a summary (drif...

Part of the Dynamic Feed server.

detect_drift is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call detect_drift to retrieve information from Dynamic Feed without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though detect_drift only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

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

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These attack patterns abuse exactly the kind of access detect_drift gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so detect_drift only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the detect_drift tool do? +

DRIFT DETECTION — audit a batch of AI-stated facts against live ground-truth in one call. Pass claims (a list of statements an LLM produced) or text (a paragraph that's split into claims); each is fact-checked and graded — drifted / confirmed / unverifiable, with a severity — plus a summary (drifted_count, overall). Use it to self-audit an answer before sending it. Args: claims: list of statements to check. text: alternatively, a paragraph that gets split into claims.. It is categorised as a Read tool in the Dynamic Feed MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on detect_drift? +

Register the Dynamic Feed MCP server in PolicyLayer and add a rule for detect_drift: 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 Dynamic Feed. Nothing to install.

What risk level is detect_drift? +

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

Can I rate-limit detect_drift? +

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

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

detect_drift is provided by the Dynamic Feed MCP server (https://dynamicfeed.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Dynamic Feed tool call.

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

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