vision.benchmark_target
Run the owned application benchmark; external gates report blocked rather than pass.
This record as markdown: /tools/visionmcp/vision.benchmark-target.md
What vision.benchmark_target does on Visionmcp
AI agents invoke vision.benchmark_target 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.benchmark_target is rated High
This tool triggers execution of a benchmark suite, which is an Execute-category action. It does not merely retrieve data (Read), nor does it appear to create/modify reversible data (Write). While benchmarking is generally less dangerous than arbitrary code execution, it does trigger external operations whose effects depend on runtime conditions.
From the tool's definition Tool performs 'Run the owned application benchmark' — an action that executes a benchmark process against a target application.
Attacks that exploit this kind of access
The rule that runs vision.benchmark_target 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.benchmark_target, this is the rule to start with:
vision.benchmark_target 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.benchmark_target call is checked against it from then on.
Questions about vision.benchmark_target
Run the owned application benchmark; external gates report blocked rather than pass. 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.benchmark_target: 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.benchmark_target 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.benchmark_target 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.benchmark_target. 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.benchmark_target 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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