vision.measure_information_gain
Estimate expected information gain for a proposed view on a target.
This record as markdown: /tools/visionmcp/vision.measure-information-gain.md
What vision.measure_information_gain does on Visionmcp
AI agents call vision.measure_information_gain 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.measure_information_gain is rated Low
This tool performs analytical estimation rather than creating, modifying, executing code, deleting data, or moving money. It appears to analyze or measure properties of a visual/ML model context to inform decision-making, consistent with the 'evidence-first' compiler description.
From the tool's definition Tool description: 'Estimate expected information gain for a proposed view on a target.' The verb 'estimate' and noun phrase 'information gain' indicate a computational query or analysis operation that retrieves or calculates metrics without modifying state.
Attacks that exploit this kind of access
The rule that runs vision.measure_information_gain 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.measure_information_gain, this is the rule to start with:
vision.measure_information_gain 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.measure_information_gain call is checked against it from then on.
Questions about vision.measure_information_gain
Estimate expected information gain for a proposed view on a target. 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.measure_information_gain: 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.measure_information_gain 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.measure_information_gain 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.measure_information_gain. 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.measure_information_gain 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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