vision.evaluate
Run a capsule evaluation or mandatory global frontend non-regression gate.
This record as markdown: /tools/visionmcp/vision.evaluate.md
What vision.evaluate does on Visionmcp
AI agents invoke vision.evaluate to trigger actions in Visionmcp. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why vision.evaluate is rated High
This tool executes evaluation processes and non-regression gates, which are automated operations with potential side effects on test infrastructure, result reporting, and deployment pipelines. While not destructive or financial, it goes beyond simple read/write operations to actively trigger and run external workflows. The 'mandatory global frontend' language suggests infrastructure-wide impact.
From the tool's definition Tool description states 'Run a capsule evaluation or mandatory global frontend non-regression gate' — the verb 'run' indicates execution of automated testing/validation processes that trigger external operations (test gates, evaluations) whose effects depend…
Attacks that exploit this kind of access
The rule that runs vision.evaluate 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.evaluate, this is the rule to start with:
vision.evaluate stays usable, but rate-capped: a runaway agent can't fire it dozens of times 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.evaluate call is checked against it from then on.
Questions about vision.evaluate
Run a capsule evaluation or mandatory global frontend non-regression gate. It is categorised as a Execute tool in the Visionmcp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Vision MCP server in PolicyLayer and add a rule for vision.evaluate: 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.evaluate is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the vision.evaluate 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.evaluate. 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.evaluate 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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