add_note
AI agents use add_note to create or update resources in PensionPro — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your PensionPro environment.
The tool name clearly indicates a write operation (add/create). Given the pension administration context with employee and plan data, adding notes would reversibly modify records without deleting or executing external code.
From the tool's definition Tool name 'add_note' indicates a create/modify action. No description provided, but context from sibling tools (get_notes, create_todo, create_project_from_template) suggests this server manages pension administration data including employee and plan details.
Attacks that exploit this kind of access
add_note. It is categorised as a Write tool in the PensionPro MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the PensionPro MCP server in PolicyLayer and add a rule for add_note: 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 PensionPro. Nothing to install.
add_note 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 add_note 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 add_note. 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.
add_note is provided by the PensionPro MCP server (pypi:pension-pro-mcp). 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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