store_summary_tool

store_summary_tool

Server Alaya luke-kucing/alaya
Category Write
Risk class Medium
Parameters 00 required

What store_summary_tool does on Alaya

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

Why store_summary_tool needs a policy

The name implies a write operation (storing data), consistent with the server's write capabilities seen in sibling tools like create_note_tool and append_to_note_tool. However, the empty description significantly lowers confidence. Storing a summary is a reversible write action, so Write is the most appropriate category at medium severity given the personal knowledge vault context.

From the tool's definition Tool name 'store_summary_tool' suggests storing/saving a summary; description is empty and uninformative.

Questions about store_summary_tool

What does the store_summary_tool tool do? +

store_summary_tool. It is categorised as a Write tool in the Alaya MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on store_summary_tool? +

Register the Alaya MCP server in PolicyLayer and add a rule for store_summary_tool: 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 Alaya. Nothing to install.

What risk level is store_summary_tool? +

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

Can I rate-limit store_summary_tool? +

Yes. Add a rate_limit block to the store_summary_tool 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 store_summary_tool completely? +

Set action: deny in the PolicyLayer policy for store_summary_tool. 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 store_summary_tool? +

store_summary_tool is provided by the Alaya MCP server (luke-kucing/alaya). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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