vision.update_world_model
Incorporate one frame observation into an existing world (append-only).
This record as markdown: /tools/visionmcp/vision.update-world-model.md
What vision.update_world_model does on Visionmcp
AI agents use vision.update_world_model 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 vision.update_world_model is rated Medium
The tool modifies an existing world model by appending new frame observation data. 'Append-only' confirms it creates/adds data without deletion, making it a Write operation. Medium severity because it persistently modifies a shared world model state, but the append-only nature limits blast radius compared to arbitrary overwrites.
From the tool's definition 'Incorporate one frame observation into an existing world (append-only)'
Attacks that exploit this kind of access
The rule that runs vision.update_world_model 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 vision.update_world_model, this is the rule to start with:
vision.update_world_model 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 vision.update_world_model call is checked against it from then on.
Questions about vision.update_world_model
Incorporate one frame observation into an existing world (append-only). 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 vision.update_world_model: 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.
vision.update_world_model 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 vision.update_world_model 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 vision.update_world_model. 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.
vision.update_world_model 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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