vision.query
Query an observed perceptual graph with exact artifact citation.
This record as markdown: /tools/visionmcp/vision.query.md
What vision.query does on Visionmcp
AI agents call vision.query 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.query is rated Low
This tool queries existing data structures (a perceptual graph) and returns results with citations. No modification, deletion, or execution capabilities are indicated. The operation is non-destructive and has no side effects beyond returning information to the caller. This is a classic Read operation.
From the tool's definition Tool name 'query' combined with description 'Query an observed perceptual graph' indicates data retrieval. The phrase 'exact artifact citation' suggests read-only access to return referenced data without modification.
Attacks that exploit this kind of access
The rule that runs vision.query 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.query, this is the rule to start with:
vision.query 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.query call is checked against it from then on.
Questions about vision.query
Query an observed perceptual graph with exact artifact citation. 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.query: 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.query 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.query 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.query. 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.query 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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