deploy_canary
Initiates a progressive canary deployment for a microservice using Argo Rollouts-style traffic splitting. HIGH RISK — queued for human approval. Automatically advances traffic from 10% → 100% in steps, with metric-driven auto-rollback if error_rate > 2% or latency_p99 > 800ms. Poll get_deployment...
This record as markdown: /tools/nitrostack/deploy-canary.md
What deploy_canary does on Nitrostack
AI agents invoke deploy_canary to trigger actions in Nitrostack. 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 deploy_canary is rated High
Initiates production deployment with automatic traffic shifting and rollback logic; execution effects depend on deployment state and metrics.
From the tool's definition progressive canary deployment, traffic splitting, auto-rollback, metric-driven
Attacks that exploit this kind of access
The rule that runs deploy_canary safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Nitrostack, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For deploy_canary, this is the rule to start with:
deploy_canary 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 Nitrostack, apply this rule, and every deploy_canary call is checked against it from then on.
Questions about deploy_canary
Initiates a progressive canary deployment for a microservice using Argo Rollouts-style traffic splitting. HIGH RISK — queued for human approval. Automatically advances traffic from 10% → 100% in steps, with metric-driven auto-rollback if error_rate > 2% or latency_p99 > 800ms. Poll get_deployment_status to see progress. It is categorised as a Execute tool in the Nitrostack MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Nitrostack MCP server in PolicyLayer and add a rule for deploy_canary: 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 Nitrostack. Nothing to install.
deploy_canary 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 deploy_canary 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 deploy_canary. 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.
deploy_canary is provided by the Nitrostack MCP server (nitrocloudofficial/nitrostack). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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