Searches for memos in the database. Supports content-based search and channel filtering. When no channel is specified, the currently active channel is used. Returns results in JSON format with memo information and content.
AI agents call memo_search to retrieve information from Ninetn MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
memo_search is a query operation that retrieves existing data without side effects. It does not create, modify, delete, execute code, or trigger external operations. The scope is limited to searching and returning memo information, making it a standard Read operation with low risk if misused by an AI agent (worst case: exposure of memo contents the agent is already authorized to access).
From the tool's definition Tool performs 'searches for memos in the database' and 'returns results in JSON format' with no modification or deletion capabilities mentioned.
Attacks that exploit this kind of access
Searches for memos in the database. Supports content-based search and channel filtering. When no channel is specified, the currently active channel is used. Returns results in JSON format with memo information and content. It is categorised as a Read tool in the Ninetn MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Ninetn MCP Server MCP server in PolicyLayer and add a rule for memo_search: 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 Ninetn MCP Server. Nothing to install.
memo_search is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the memo_search 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 memo_search. 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.
memo_search is provided by the Ninetn MCP Server MCP server (diatonic-codes/ninetn-mcp-server). 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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