vision.propose_pnp_landmarks_from_renders
Propose hash-bound render/image landmarks or persist an explicit refusal.
This record as markdown: /tools/visionmcp/vision.propose-pnp-landmarks-from-renders.md
What vision.propose_pnp_landmarks_from_renders does on Visionmcp
AI agents use vision.propose_pnp_landmarks_from_renders 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.propose_pnp_landmarks_from_renders is rated Medium
The tool either proposes (creates) new landmark entries bound to rendered images or persists a refusal record. Both actions result in data being written/stored. This is a Write operation since it creates or modifies landmark data, but does not irreversibly delete anything nor execute arbitrary code or move money. Severity is medium because misuse could corrupt landmark/calibration data used by the visual pipeline.
From the tool's definition 'Propose hash-bound render/image landmarks or persist an explicit refusal' — creating/persisting new landmark data or a refusal record
Attacks that exploit this kind of access
The rule that runs vision.propose_pnp_landmarks_from_renders 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.propose_pnp_landmarks_from_renders, this is the rule to start with:
vision.propose_pnp_landmarks_from_renders 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.propose_pnp_landmarks_from_renders call is checked against it from then on.
Questions about vision.propose_pnp_landmarks_from_renders
Propose hash-bound render/image landmarks or persist an explicit refusal. 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.propose_pnp_landmarks_from_renders: 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.propose_pnp_landmarks_from_renders 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.propose_pnp_landmarks_from_renders 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.propose_pnp_landmarks_from_renders. 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.propose_pnp_landmarks_from_renders 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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