AI agents use graduate to create or update resources in Kb — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Kb environment.
The tool moves or promotes notes from a project-specific location to a general shared location. This is a write/modification operation (reorganizing and potentially copying or moving data), but it is likely reversible. The word 'propose' suggests it may be a soft write (staging a change rather than immediately committing), which slightly lowers severity. No code execution, deletion, or financial action is implied.
From the tool's definition Propose promoting project notes to general/
Attacks that exploit this kind of access
Propose promoting project notes to general/. It is categorised as a Write tool in the Kb MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Kb MCP server in PolicyLayer and add a rule for graduate: 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 Kb. Nothing to install.
graduate 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 graduate 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 graduate. 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.
graduate is provided by the Kb MCP server (okash1n/kb). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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