scope_capture
AI agents use scope_capture to create or update resources in Oscilloscope — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Oscilloscope environment.
An AI agent can call scope_capture faster than any human can review — one bad instruction and it creates or modifies resources in Oscilloscope by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
scope_capture. It is categorised as a Write tool in the Oscilloscope MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Oscilloscope MCP server in PolicyLayer and add a rule for scope_capture: 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 Oscilloscope. Nothing to install.
scope_capture is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the scope_capture 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 scope_capture. 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.
scope_capture is provided by the Oscilloscope MCP server (sandraschi/oscilloscope-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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