add_ai_research_summary_to_issue_comment

WHAT IT DOES

What add_ai_research_summary_to_issue_comment does on Enterprise AI Bridge (MCP)

AI agents use add_ai_research_summary_to_issue_comment to create or update resources in Enterprise AI Bridge (MCP) — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Enterprise AI Bridge (MCP) environment.

WHY IT NEEDS A POLICY

Why add_ai_research_summary_to_issue_comment needs a policy

This tool performs a Write operation: it creates new comment data on a Jira issue by composing AI-generated research and appending it. While it involves external research (Tavily), the primary action is modifying Jira state reversibly. It is not Read-only (it creates data), not Execute in the dangerous sense (it doesn't run arbitrary commands), and not Destructive (comments can be edited/deleted).

From the tool's definition The tool 'adds' content 'to a Jira issue' comment, which creates/appends new data to an existing issue. The description states it 'adds it to a Jira issue', indicating a create or modify operation on Jira data.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

add_ai_research_summary_to_issue_comment Rate-limited

add_ai_research_summary_to_issue_comment stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "add_ai_research_summary_to_issue_comment": {
      "limits": [
        {
          "counter": "add_ai_research_summary_to_issue_comment_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Enterprise AI Bridge (MCP), so you can run agents against it safely.

FAQ

Questions about add_ai_research_summary_to_issue_comment

What does the add_ai_research_summary_to_issue_comment tool do? +

Researches a technical solution and adds it to a Jira issue. It is categorised as a Write tool in the Enterprise AI Bridge (MCP) MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on add_ai_research_summary_to_issue_comment? +

Register the Enterprise AI Bridge (MCP) MCP server in PolicyLayer and add a rule for add_ai_research_summary_to_issue_comment: 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 Enterprise AI Bridge (MCP). Nothing to install.

What risk level is add_ai_research_summary_to_issue_comment? +

add_ai_research_summary_to_issue_comment is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit add_ai_research_summary_to_issue_comment? +

Yes. Add a rate_limit block to the add_ai_research_summary_to_issue_comment 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 add_ai_research_summary_to_issue_comment completely? +

Set action: deny in the PolicyLayer policy for add_ai_research_summary_to_issue_comment. 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 add_ai_research_summary_to_issue_comment? +

add_ai_research_summary_to_issue_comment is provided by the Enterprise AI Bridge (MCP) MCP server (olegvasilievcs/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.