get_shared_result

Get detailed information about a specific shared execution result, including the shared outputs and inputs.

SERVERFlowDot MCP Server SOURCEflowdot-llc/mcp-server

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/flowdot-llc-mcp-server/get-shared-result.md

WHAT IT DOES

What get_shared_result does on FlowDot MCP Server

AI agents call get_shared_result 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.

RISK

Why get_shared_result is rated Low

This tool retrieves information about a shared execution result with no capability to modify, delete, or execute operations. It has a clear read-only semantics focused on data retrieval. The blast radius is minimal since unauthorized access would only expose execution results that are already marked as 'shared,' implying they are intended for viewing.

From the tool's definition Tool name is 'get_shared_result' and description states 'Get detailed information about a specific shared execution result, including the shared outputs and inputs.' The verb 'Get' and action of retrieving/querying data without modification indicates…

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs get_shared_result 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_shared_result, this is the rule to start with:

get_shared_result Allowed

get_shared_result is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_shared_result": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect FlowDot MCP Server, apply this rule, and every get_shared_result call is checked against it from then on.

FAQ

Questions about get_shared_result

What does the get_shared_result tool do? +

Get detailed information about a specific shared execution result, including the shared outputs and inputs. It is categorised as a Read tool in the FlowDot MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_shared_result? +

Register the FlowDot MCP Server MCP server in PolicyLayer and add a rule for get_shared_result: 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.

What risk level is get_shared_result? +

get_shared_result is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_shared_result? +

Yes. Add a rate_limit block to the get_shared_result 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.

How do I block get_shared_result completely? +

Set action: deny in the PolicyLayer policy for get_shared_result. 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.

What MCP server provides get_shared_result? +

get_shared_result 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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