Execute a multi-step interaction flow (legacy alias).
AI agents invoke run_flow to trigger actions in Visual Annotation MCP. 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.
The tool executes programmatic flows rather than simply reading or passively inspecting. While it does not inherently delete data (Destructive) or move money (Financial), it performs browser automation and multi-step interactions whose real-world effects are unpredictable without knowing the flow definition. Misuse could trigger unintended purchases, form submissions, or account modifications.
From the tool's definition 'Execute a multi-step interaction flow' indicates the tool runs a sequence of operations whose effects depend on the flow's contents.
Attacks that exploit this kind of access
Execute a multi-step interaction flow (legacy alias). It is categorised as a Execute tool in the Visual Annotation MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Visual Annotation MCP server in PolicyLayer and add a rule for run_flow: 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 Visual Annotation MCP. Nothing to install.
run_flow 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 run_flow 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 run_flow. 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.
run_flow is provided by the Visual Annotation MCP server (mstocker1/visual_annotation_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.
Teams ship this data inside their own products. See what a licence covers →