iot_telemetry_anomalies

Detect anomalies in device telemetry readings

SERVERClaude Flow SOURCEclaude-flow

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-ruvnet-claude-flow/iot-telemetry-anomalies.md

WHAT IT DOES

What iot_telemetry_anomalies does on Claude Flow

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

RISK

Why iot_telemetry_anomalies is rated Low

This tool retrieves and analyzes telemetry data to identify anomalies—a passive, non-destructive operation. It has no side effects on data or systems. Even if an AI agent misuses it by querying telemetry continuously, the blast radius is minimal (resource consumption, information disclosure). No data is modified, deleted, or financial impact occurs.

From the tool's definition Tool name 'iot_telemetry_anomalies' and description 'Detect anomalies in device telemetry readings' indicate analysis and querying of existing telemetry data.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs iot_telemetry_anomalies safely

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

iot_telemetry_anomalies Allowed

iot_telemetry_anomalies 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": {
    "iot_telemetry_anomalies": {}
  }
}

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

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

FAQ

Questions about iot_telemetry_anomalies

What does the iot_telemetry_anomalies tool do? +

Detect anomalies in device telemetry readings. It is categorised as a Read tool in the Claude Flow MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on iot_telemetry_anomalies? +

Register the Claude Flow MCP server in PolicyLayer and add a rule for iot_telemetry_anomalies: 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 Claude Flow. Nothing to install.

What risk level is iot_telemetry_anomalies? +

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

Can I rate-limit iot_telemetry_anomalies? +

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

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

iot_telemetry_anomalies is provided by the Claude Flow MCP server (claude-flow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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