personal_list
List metadata for personal entries without exposing their values.
This record as markdown: /tools/inggerman-mcps/personal-list.md
What personal_list does on MCP Framework Personal
AI agents call personal_list to retrieve information from MCP Framework Personal without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why personal_list is rated Low
This tool performs a retrieval operation (list) that queries metadata about personal entries. It is explicitly constrained to metadata only and does not expose sensitive values, indicating it is informational in nature with no capability to create, modify, delete, or execute operations. The minimal exposure of data and lack of side effects places this squarely in the Read category with low severity.
From the tool's definition The tool description explicitly states it 'List[s] metadata for personal entries without exposing their values.' The verb 'list' combined with 'metadata' and the explicit constraint of not exposing values indicates a read-only operation that retrieves…
Attacks that exploit this kind of access
The rule that runs personal_list safely
PolicyLayer is an MCP gateway: it sits between your AI agents and MCP Framework Personal, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For personal_list, this is the rule to start with:
personal_list is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect MCP Framework Personal, apply this rule, and every personal_list call is checked against it from then on.
Questions about personal_list
List metadata for personal entries without exposing their values. It is categorised as a Read tool in the MCP Framework Personal MCP Server, which means it retrieves data without modifying state.
Register the MCP Framework Personal MCP server in PolicyLayer and add a rule for personal_list: 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 MCP Framework Personal. Nothing to install.
personal_list 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 personal_list 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 personal_list. 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.
personal_list is provided by the MCP Framework Personal MCP server (inggerman/mcps). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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