列出所有备份文件
AI agents call list_backup_files to retrieve information from PySqlitMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns a list of existing backup files. It performs a read-only operation with no side effects, data modification, or execution of external operations. The action is informational only, making it a Read category tool with low severity risk.
From the tool's definition Tool name 'list_backup_files' and description '列出所有备份文件' (list all backup files) indicates retrieval of backup file information with no modification or deletion of data.
Attacks that exploit this kind of access
列出所有备份文件. It is categorised as a Read tool in the PySqlitMCP MCP Server, which means it retrieves data without modifying state.
Register the PySqlit MCP server in PolicyLayer and add a rule for list_backup_files: 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 PySqlitMCP. Nothing to install.
list_backup_files 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_backup_files 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_backup_files. 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_backup_files is provided by the PySqlit MCP server (python51888/pysqlitmcp). 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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