This record as markdown: /tools/hybridlabor-api-aos/capture-and-recognize.md
What capture_and_recognize does on Aos
AI agents invoke capture_and_recognize to trigger actions in Aos. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why capture_and_recognize is rated High
Triggers webcam capture and facial recognition, an active external operation with privacy implications.
From the tool's definition Capture an image from the webcam and recognize faces
Attacks that exploit this kind of access
The rule that runs capture_and_recognize safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Aos, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For capture_and_recognize, this is the rule to start with:
capture_and_recognize stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Aos, apply this rule, and every capture_and_recognize call is checked against it from then on.
Questions about capture_and_recognize
Capture an image from the webcam and recognize faces in it. It is categorised as a Execute tool in the Aos MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Aos MCP server in PolicyLayer and add a rule for capture_and_recognize: 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 Aos. Nothing to install.
capture_and_recognize is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the capture_and_recognize 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.
Set action: deny in the PolicyLayer policy for capture_and_recognize. 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.
capture_and_recognize is provided by the Aos MCP server (@hybridlabor-api/aos). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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