Detect whether media content was generated by AI. Supports images, video, audio, and text/PDF. Runs multiple specialized detection models in parallel for the given media type. Returns a job_id — use check_job to poll for results.
Part of the Sidearm MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents call detect_ai to retrieve information from Sidearm 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_ai 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.
tools:
detect_ai:
rules:
- action: allowSee the full Sidearm policy for all 19 tools.
Agents calling read-class tools like detect_ai have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.
Detect whether media content was generated by AI. Supports images, video, audio, and text/PDF. Runs multiple specialized detection models in parallel for the given media type. Returns a job_id — use check_job to poll for results.. It is categorised as a Read tool in the Sidearm MCP Server, which means it retrieves data without modifying state.
Add a rule in your Intercept YAML policy under the tools section for detect_ai. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Sidearm MCP server.
detect_ai is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the detect_ai rule in your Intercept 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.
Set action: deny in the Intercept policy for detect_ai. 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.
detect_ai is provided by the Sidearm MCP server (sidearmdrm/sidearm). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept