get_shared_result_comments
Get user comments on a shared execution result.
This record as markdown: /tools/flowdot-llc-mcp-server/get-shared-result-comments.md
What get_shared_result_comments does on FlowDot MCP Server
AI agents call get_shared_result_comments 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_shared_result_comments is rated Low
The tool retrieves or queries existing comments on a shared result. The verb 'Get' and the read-only nature of fetching comments (no creation, modification, deletion, or execution of external operations) place this squarely in the Read category.
From the tool's definition Tool name 'get_shared_result_comments' and description 'Get user comments on a shared execution result' indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
The rule that runs get_shared_result_comments 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_comments, this is the rule to start with:
get_shared_result_comments 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_shared_result_comments call is checked against it from then on.
Questions about get_shared_result_comments
Get user comments on a shared execution 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 get_shared_result_comments: 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_shared_result_comments 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_shared_result_comments 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_shared_result_comments. 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_shared_result_comments 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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