configure_channel_preferences
Set your messaging preferences: which channels to use first,
This record as markdown: /tools/io-github-homenshum-nodebench/configure-channel-preferences.md
What configure_channel_preferences does on Nodebench
AI agents use configure_channel_preferences to create or update resources in Nodebench, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Nodebench environment.
Why configure_channel_preferences is rated Medium
This tool modifies user configuration data (messaging channel preferences) in a reversible manner. It does not execute code, delete data irreversibly, move money, or perform read-only queries. The blast radius is limited to the user's own preference settings with no destructive side effects. Classified as Write with low severity due to the benign nature of preference configuration.
From the tool's definition Tool name 'configure_channel_preferences' with description 'Set your messaging preferences: which channels to use first' indicates creation or modification of user preference settings.
Attacks that exploit this kind of access
The rule that runs configure_channel_preferences safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Nodebench, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For configure_channel_preferences, this is the rule to start with:
configure_channel_preferences stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Nodebench, apply this rule, and every configure_channel_preferences call is checked against it from then on.
Questions about configure_channel_preferences
Set your messaging preferences: which channels to use first,. It is categorised as a Write tool in the Nodebench MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Nodebench MCP server in PolicyLayer and add a rule for configure_channel_preferences: 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 Nodebench. Nothing to install.
configure_channel_preferences is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the configure_channel_preferences 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 configure_channel_preferences. 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.
configure_channel_preferences is provided by the Nodebench MCP server (nodebench-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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