list_my_input_presets
List every input preset YOU have created across every workflow. Use this to inspect your personal preset library — including which presets are community-listed (is_community=true) and which are private to a workflow. For presets on a specific workflow (yours or anyone
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What list_my_input_presets does on FlowDot MCP Server
AI agents call list_my_input_presets to retrieve information from FlowDot MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why list_my_input_presets is rated Low
This tool retrieves and inspects existing input presets created by the user across workflows. It has no side effects—it only reads data about presets (including metadata like is_community status). No data is created, modified, deleted, or executed. This is a straightforward read operation with minimal risk if misused by an AI agent.
From the tool's definition Tool name 'list_my_input_presets' and description 'List every input preset YOU have created' clearly indicates a retrieval/query operation with no modification, deletion, or execution capability.
Attacks that exploit this kind of access
The rule that runs list_my_input_presets safely
PolicyLayer is an MCP gateway: it sits between your AI agents and FlowDot MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For list_my_input_presets, this is the rule to start with:
list_my_input_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 FlowDot MCP Server, apply this rule, and every list_my_input_presets call is checked against it from then on.
Questions about list_my_input_presets
List every input preset YOU have created across every workflow. Use this to inspect your personal preset library — including which presets are community-listed (is_community=true) and which are private to a workflow. For presets on a specific workflow (yours or anyone. It is categorised as a Read tool in the FlowDot MCP Server MCP Server, which means it retrieves data without modifying state.
Register the FlowDot MCP Server MCP server in PolicyLayer and add a rule for list_my_input_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 FlowDot MCP Server. Nothing to install.
list_my_input_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_my_input_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_my_input_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_my_input_presets is provided by the FlowDot MCP Server MCP server (flowdot-llc/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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