vision.resource.usage_edges
Build an approximation-only binary-to-pixel graph from observations.
This record as markdown: /tools/visionmcp/vision.resource.usage-edges.md
What vision.resource.usage_edges does on Visionmcp
AI agents call vision.resource.usage_edges to retrieve information from Visionmcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why vision.resource.usage_edges is rated Low
The tool builds an in-memory graph approximation from observations, which is fundamentally a read/compute operation. There is no indication it writes, modifies, or deletes data. The word 'build' could imply write, but 'approximation-only' and 'from observations' suggest it is a derived/computed view of existing data. Confidence is moderate because the description is sparse and 'build' is ambiguous.
From the tool's definition 'Build an approximation-only binary-to-pixel graph from observations' — constructs/computes a graph representation from existing data without indicating side effects
Attacks that exploit this kind of access
The rule that runs vision.resource.usage_edges 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.resource.usage_edges, this is the rule to start with:
vision.resource.usage_edges is read-only, so it stays allowed. 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.resource.usage_edges call is checked against it from then on.
Questions about vision.resource.usage_edges
Build an approximation-only binary-to-pixel graph from observations. It is categorised as a Read tool in the Visionmcp MCP Server, which means it retrieves data without modifying state.
Register the Vision MCP server in PolicyLayer and add a rule for vision.resource.usage_edges: 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.resource.usage_edges is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the vision.resource.usage_edges 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.resource.usage_edges. 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.resource.usage_edges 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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