benchmark.refine_dgx_spark_base_foot_candidate
Queue a recessed DGX foot refinement without changing the 150 mm body envelope.
This record as markdown: /tools/visionmcp/benchmark.refine-dgx-spark-base-foot-candidate.md
What benchmark.refine_dgx_spark_base_foot_candidate does on Visionmcp
AI agents invoke benchmark.refine_dgx_spark_base_foot_candidate 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 benchmark.refine_dgx_spark_base_foot_candidate is rated High
The tool queues a processing job (refinement operation), which constitutes executing an external operation with side effects. It doesn't merely read data, nor does it appear to delete or modify existing data directly. The constraint 'without changing the 150 mm body envelope' suggests bounded scope, reducing blast radius.
From the tool's definition 'Queue a recessed DGX foot refinement' — triggers an external refinement operation/job
Attacks that exploit this kind of access
The rule that runs benchmark.refine_dgx_spark_base_foot_candidate 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 benchmark.refine_dgx_spark_base_foot_candidate, this is the rule to start with:
benchmark.refine_dgx_spark_base_foot_candidate 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 benchmark.refine_dgx_spark_base_foot_candidate call is checked against it from then on.
Questions about benchmark.refine_dgx_spark_base_foot_candidate
Queue a recessed DGX foot refinement without changing the 150 mm body envelope. 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 benchmark.refine_dgx_spark_base_foot_candidate: 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.
benchmark.refine_dgx_spark_base_foot_candidate 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 benchmark.refine_dgx_spark_base_foot_candidate 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 benchmark.refine_dgx_spark_base_foot_candidate. 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.
benchmark.refine_dgx_spark_base_foot_candidate 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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