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runner_auth_set

Legacy vault-backed provider auth for OpenCode/GLM provider configuration only. Claude Code and Codex use subscription OAuth through runner_auth_browser_start or runner_auth_credentials_import. Optional device_id writes to another owned Yaver machine.

SERVERYaver SOURCEyaver-cli
Medium RISK CLASS
Category Write
Parameters 71 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-kivanccakmak-yaver/runner-auth-set.md

What runner_auth_set does on Yaver

AI agents use runner_auth_set to create or update resources in Yaver, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Yaver environment.

ParameterTypeRequiredDescription
notes string
runner string Yes
device_id string Optional remote device ID
glm_api_key string OpenCode/GLM provider credential.
zai_api_key string OpenCode/GLM provider credential.
openai_api_key string OpenCode provider credential.
anthropic_api_key string OpenCode provider credential.

Parameters from the server's own tool schema.

Why runner_auth_set is rated Medium

This tool creates or modifies authentication and provider configuration data. While described as 'Legacy', it still performs credential/auth storage operations which, if misused by an agent (e.g., setting malicious provider credentials, writing to unintended peer devices), could compromise security and enable unauthorized access. The ability to write to 'another owned Yaver machine' adds lateral impact potential.

From the tool's definition The tool description states it writes authentication configuration to 'vault-backed provider auth' for OpenCode/GLM provider configuration, and explicitly mentions writing device_id 'to another owned Yaver machine'.

Questions about runner_auth_set

What does the runner_auth_set tool do? +

Legacy vault-backed provider auth for OpenCode/GLM provider configuration only. Claude Code and Codex use subscription OAuth through runner_auth_browser_start or runner_auth_credentials_import. Optional device_id writes to another owned Yaver machine. It is categorised as a Write tool in the Yaver MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does runner_auth_set accept? +

runner_auth_set accepts 7 parameters: notes, runner, device_id, glm_api_key, zai_api_key, openai_api_key, anthropic_api_key. Required: runner. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on runner_auth_set? +

Register the Yaver MCP server in PolicyLayer and add a rule for runner_auth_set: 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.

What risk level is runner_auth_set? +

runner_auth_set is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit runner_auth_set? +

Yes. Add a rate_limit block to the runner_auth_set 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.

How do I block runner_auth_set completely? +

Set action: deny in the PolicyLayer policy for runner_auth_set. 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.

What MCP server provides runner_auth_set? +

runner_auth_set 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.

More on Yaver, and thousands of servers like it.

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