switch_run
Execute a previously-planned switch. HARD switches emit a rewrite prompt for the AI agent instead of running inline.
This record as markdown: /tools/io-github-kivanccakmak-yaver/switch-run.md
What switch_run does on Yaver
AI agents invoke switch_run 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 |
|---|---|---|---|
id | string | Yes | |
directory | string | — |
Parameters from the server's own tool schema.
Why switch_run is rated High
The tool executes a planned operation (a 'switch'), which implies triggering an external action or code transformation. The 'HARD switch' path emits a rewrite prompt to the AI agent, meaning it can cause the agent to rewrite code or configuration. This is an Execute-category action with high severity because misuse could trigger unintended code rewrites or deployments in a development environment.
From the tool's definition "Execute a previously-planned switch" and "emit a rewrite prompt for the AI agent instead of running inline"
Risk signalsAccepts file system path (directory)
Attacks that exploit this kind of access
The rule that runs switch_run 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 switch_run, this is the rule to start with:
switch_run 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 switch_run call is checked against it from then on.
Questions about switch_run
Execute a previously-planned switch. HARD switches emit a rewrite prompt for the AI agent instead of running inline. 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.
switch_run accepts 2 parameters: id, directory. Required: id. 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 switch_run: 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.
switch_run 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 switch_run 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 switch_run. 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.
switch_run 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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