This record as markdown: /tools/deepdepcat/list-export-presets.md
What list_export_presets does on Deepdepcat
AI agents call list_export_presets to retrieve information from Deepdepcat without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why list_export_presets is rated Low
Retrieves configuration data without modifying or executing operations with side effects.
From the tool's definition list_export_presets; lists available export format presets.
Attacks that exploit this kind of access
The rule that runs list_export_presets safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Deepdepcat, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For list_export_presets, this is the rule to start with:
list_export_presets 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 Deepdepcat, apply this rule, and every list_export_presets call is checked against it from then on.
Questions about list_export_presets
列出所有可用的导出格式预设。. It is categorised as a Read tool in the Deepdepcat MCP Server, which means it retrieves data without modifying state.
Register the Deepdepcat MCP server in PolicyLayer and add a rule for list_export_presets: 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 Deepdepcat. Nothing to install.
list_export_presets 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_export_presets 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_export_presets. 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_export_presets is provided by the Deepdepcat MCP server (hanmirage/deepdepcat). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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