portfolio.fusion_plan
Plan evidence-safe candidate fusion without treating generated topology as measured.
This record as markdown: /tools/visionmcp/portfolio.fusion-plan.md
What portfolio.fusion_plan does on Visionmcp
AI agents use portfolio.fusion_plan 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 portfolio.fusion_plan is rated Medium
An AI agent can call portfolio.fusion_plan faster than any human can review: one bad instruction and it creates or modifies resources in Visionmcp by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs portfolio.fusion_plan 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 portfolio.fusion_plan, this is the rule to start with:
portfolio.fusion_plan 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 portfolio.fusion_plan call is checked against it from then on.
Questions about portfolio.fusion_plan
Plan evidence-safe candidate fusion without treating generated topology as measured. 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 portfolio.fusion_plan: 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.
portfolio.fusion_plan 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 portfolio.fusion_plan 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 portfolio.fusion_plan. 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.
portfolio.fusion_plan 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.
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