cloud_emu_start
Start local cloud emulators. Provider: aws (MinIO/DynamoDB/ElasticMQ), azure (Azurite), gcp (Firebase Emulator Suite).
This record as markdown: /tools/io-github-kivanccakmak-yaver/cloud-emu-start.md
What cloud_emu_start does on Yaver
AI agents invoke cloud_emu_start to trigger actions in Yaver. 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.
| Parameter | Type | Required | Description |
|---|---|---|---|
provider | string | Yes | |
services | string | — | Comma-separated service list (s3,dynamodb,sqs,blob,queue,firestore,...) |
directory | string | — |
Parameters from the server's own tool schema.
Why cloud_emu_start is rated High
This tool executes infrastructure operations—spinning up cloud service emulators. While it operates in a local development environment (mitigating some risk), it still triggers external processes and consumes system resources. An AI agent could inadvertently start many emulator instances or select inappropriate configurations, causing resource exhaustion or unexpected local state changes.
From the tool's definition Tool description explicitly states it "Start[s] local cloud emulators" for AWS, Azure, and GCP services. The verb "start" combined with the ability to launch emulator instances constitutes triggering an external operation whose effects depend on which…
Risk signalsAccepts file system path (directory)
Attacks that exploit this kind of access
The rule that runs cloud_emu_start safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Yaver, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For cloud_emu_start, this is the rule to start with:
cloud_emu_start 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 Yaver, apply this rule, and every cloud_emu_start call is checked against it from then on.
Questions about cloud_emu_start
Start local cloud emulators. Provider: aws (MinIO/DynamoDB/ElasticMQ), azure (Azurite), gcp (Firebase Emulator Suite). It is categorised as a Execute tool in the Yaver MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
cloud_emu_start accepts 3 parameters: provider, services, directory. Required: provider. The full parameter table on this page comes from the server's own tool schema.
Register the Yaver MCP server in PolicyLayer and add a rule for cloud_emu_start: 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 Yaver. Nothing to install.
cloud_emu_start 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 cloud_emu_start 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 cloud_emu_start. 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.
cloud_emu_start is provided by the Yaver MCP server (yaver-cli). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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