drift_remediate
One-click remediation across a run
This record as markdown: /tools/ai-featureboard-featureboard/drift-remediate.md
What drift_remediate does on FeatureBoard
AI agents invoke drift_remediate to trigger actions in FeatureBoard. 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 drift_remediate is rated High
The term 'remediate' combined with 'one-click' and 'across a run' suggests this tool triggers automated corrective operations whose effects depend on the state of the run and the nature of the drift being remediated. This is an Execute action rather than mere data modification (Write), as remediation typically involves executing logic or commands to correct system state.
From the tool's definition Tool name is 'drift_remediate' and description states 'One-click remediation across a run' — indicates automated execution of corrective actions across multiple items/runs.
Attacks that exploit this kind of access
The rule that runs drift_remediate safely
PolicyLayer is an MCP gateway: it sits between your AI agents and FeatureBoard, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For drift_remediate, this is the rule to start with:
drift_remediate 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 FeatureBoard, apply this rule, and every drift_remediate call is checked against it from then on.
Questions about drift_remediate
One-click remediation across a run. It is categorised as a Execute tool in the FeatureBoard MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the FeatureBoard MCP server in PolicyLayer and add a rule for drift_remediate: 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 FeatureBoard. Nothing to install.
drift_remediate 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 drift_remediate 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 drift_remediate. 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.
drift_remediate is provided by the FeatureBoard MCP server (https://github.com/valentil/featureboard-mcp/releases/download/v0.7/featureboard.plugin). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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