repair.apply
Queue an approved repair, checkpoint audit, topology/ray validation, and rear render.
This record as markdown: /tools/visionmcp/repair.apply.md
What repair.apply does on Visionmcp
AI agents invoke repair.apply 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 repair.apply is rated High
The tool triggers a pipeline of operations (queuing, checkpointing, validation, rendering) that constitute active execution of a multi-step process. While it applies an 'approved repair' (suggesting Write semantics), the broader orchestration of topology/ray validation and rendering pipelines makes Execute the most appropriate category.
From the tool's definition Queue an approved repair, checkpoint audit, topology/ray validation, and rear render
Attacks that exploit this kind of access
The rule that runs repair.apply 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 repair.apply, this is the rule to start with:
repair.apply 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 repair.apply call is checked against it from then on.
Questions about repair.apply
Queue an approved repair, checkpoint audit, topology/ray validation, and rear render. 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 repair.apply: 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.
repair.apply 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 repair.apply 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 repair.apply. 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.
repair.apply 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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