列出当前项目中所有 pinned chunks。
AI agents call list_pinned to retrieve information from 0CompactMem without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and displays information about pinned memory chunks. It performs a read-only query against the memory system state. No data is created, modified, deleted, or executed. The operation is informational only, making it a Read category risk with low severity.
From the tool's definition Tool name 'list_pinned' and description '列出当前项目中所有 pinned chunks' (list all pinned chunks in current project) indicate a query/listing operation with no side effects.
Attacks that exploit this kind of access
列出当前项目中所有 pinned chunks。. It is categorised as a Read tool in the 0CompactMem MCP Server, which means it retrieves data without modifying state.
Register the 0CompactMem MCP server in PolicyLayer and add a rule for list_pinned: 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 0CompactMem. Nothing to install.
list_pinned 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 list_pinned 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 list_pinned. 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.
list_pinned is provided by the 0CompactMem MCP server (soolaugust/0compactmem). 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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