list_shared_results
List all shared execution results for a workflow. Shows shareable links, view counts, and metadata for each shared result.
This record as markdown: /tools/flowdot-llc-mcp-server/list-shared-results.md
What list_shared_results does on FlowDot MCP Server
AI agents call list_shared_results 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_shared_results is rated Low
This tool queries and displays existing shared results and their metadata. It performs no modifications to data, executes no external operations, and has no destructive capabilities. The read-only nature and bounded scope (listing existing shared results) result in low severity and high confidence classification as a Read operation.
From the tool's definition Tool name 'list_shared_results' and description 'List all shared execution results' indicate a retrieval operation.
Attacks that exploit this kind of access
The rule that runs list_shared_results 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_shared_results, this is the rule to start with:
list_shared_results 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_shared_results call is checked against it from then on.
Questions about list_shared_results
List all shared execution results for a workflow. Shows shareable links, view counts, and metadata for each shared result. 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_shared_results: 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_shared_results 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_shared_results 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_shared_results. 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_shared_results 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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