workflow.reconstruct_vehicle
Launch the vehicle ontology, constraints, search plan, and candidate portfolio.
This record as markdown: /tools/visionmcp/workflow.reconstruct-vehicle.md
What workflow.reconstruct_vehicle does on Visionmcp
AI agents invoke workflow.reconstruct_vehicle 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 workflow.reconstruct_vehicle is rated High
The word 'Launch' implies initiating a complex multi-step process (ontology, constraints, search plan, candidate portfolio), which goes beyond a simple read or write. It triggers an external operation whose effects depend on arguments. The description is somewhat vague, lowering confidence, but 'Launch' most closely aligns with Execute. No evidence of data deletion or financial transactions.
From the tool's definition 'Launch the vehicle ontology, constraints, search plan, and candidate portfolio' — 'Launch' indicates triggering an external operation or process
Attacks that exploit this kind of access
The rule that runs workflow.reconstruct_vehicle 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 workflow.reconstruct_vehicle, this is the rule to start with:
workflow.reconstruct_vehicle 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 workflow.reconstruct_vehicle call is checked against it from then on.
Questions about workflow.reconstruct_vehicle
Launch the vehicle ontology, constraints, search plan, and candidate portfolio. 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 workflow.reconstruct_vehicle: 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.
workflow.reconstruct_vehicle 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 workflow.reconstruct_vehicle 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 workflow.reconstruct_vehicle. 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.
workflow.reconstruct_vehicle 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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