get_input_preset
Get detailed information about a specific input preset (community input), including all input values.
This record as markdown: /tools/flowdot-llc-mcp-server/get-input-preset.md
What get_input_preset does on FlowDot MCP Server
AI agents call get_input_preset 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 get_input_preset is rated Low
This is a straightforward read operation that retrieves information about an input preset. The verb 'Get' and the absence of any modification, creation, or destructive language clearly place this in the Read category. The severity is low because retrieving preset configuration data has minimal blast radius—no side effects or resource-intensive operations are implied.
From the tool's definition Tool name 'get_input_preset' and description 'Get detailed information about a specific input preset (community input), including all input values' indicate a retrieval operation.
Attacks that exploit this kind of access
The rule that runs get_input_preset 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 get_input_preset, this is the rule to start with:
get_input_preset 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 get_input_preset call is checked against it from then on.
Questions about get_input_preset
Get detailed information about a specific input preset (community input), including all input values. 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 get_input_preset: 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.
get_input_preset 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 get_input_preset 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 get_input_preset. 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.
get_input_preset 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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