review.request_capture
Record a named, coverage-driven request for an additional capture view.
This record as markdown: /tools/visionmcp/review.request-capture.md
What review.request_capture does on Visionmcp
AI agents use review.request_capture to create or update resources in Visionmcp, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Visionmcp environment.
Why review.request_capture is rated Medium
The tool records/creates a new capture request, which is a reversible write operation with limited blast radius. It does not execute code, delete data, or have financial implications.
From the tool's definition Record a named, coverage-driven request for an additional capture view
Attacks that exploit this kind of access
The rule that runs review.request_capture safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Visionmcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For review.request_capture, this is the rule to start with:
review.request_capture stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Visionmcp, apply this rule, and every review.request_capture call is checked against it from then on.
Questions about review.request_capture
Record a named, coverage-driven request for an additional capture view. It is categorised as a Write tool in the Visionmcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Vision MCP server in PolicyLayer and add a rule for review.request_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 Visionmcp. Nothing to install.
review.request_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 review.request_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 review.request_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.
review.request_capture is provided by the Vision MCP server (joshuahickscorp/visionmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Vision, and thousands of servers like it.
This server
Across the catalogue