memory_pin_skill

memory_pin_skill

Server Junto Memory tlemmons/junto-memory
Category Write
Risk class Medium
Parameters 00 required

What memory_pin_skill does on Junto Memory

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

Why memory_pin_skill needs a policy

An AI agent can call memory_pin_skill faster than any human can review — one bad instruction and it creates or modifies resources in Junto Memory by the hundred, each call as confident as the last.

Questions about memory_pin_skill

What does the memory_pin_skill tool do? +

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

How do I enforce a policy on memory_pin_skill? +

Register the Junto Memory MCP server in PolicyLayer and add a rule for memory_pin_skill: 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 Junto Memory. Nothing to install.

What risk level is memory_pin_skill? +

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

Can I rate-limit memory_pin_skill? +

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

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

memory_pin_skill is provided by the Junto Memory MCP server (tlemmons/junto-memory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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