uncertainty.audit
Distinguish observed, measured, inferred, unseen, and synthetic project claims.
This record as markdown: /tools/visionmcp/uncertainty.audit.md
What uncertainty.audit does on Visionmcp
AI agents call uncertainty.audit 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 uncertainty.audit is rated Low
The tool performs auditing and categorization of existing project claims, which is a read-only analytical function. It retrieves and analyzes information to distinguish between different types of claims but does not modify, execute, or destroy data. This falls clearly into the Read category with low severity since misuse would only result in incorrect classification of claims, not operational damage.
From the tool's definition Tool description states it 'distinguishes' and categorizes project claims into types (observed, measured, inferred, unseen, synthetic), which is an analytical/classification operation with no data modification, deletion, or execution of external operations.
Attacks that exploit this kind of access
The rule that runs uncertainty.audit 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 uncertainty.audit, this is the rule to start with:
uncertainty.audit 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 uncertainty.audit call is checked against it from then on.
Questions about uncertainty.audit
Distinguish observed, measured, inferred, unseen, and synthetic project claims. 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 uncertainty.audit: 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.
uncertainty.audit 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 uncertainty.audit 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 uncertainty.audit. 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.
uncertainty.audit 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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