github_comment_on_issue

Create a comment on an issue.

SERVERIntegrations MCP SOURCEshriram-vasudevan/integrations-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/shriram-vasudevan-integrations-mcp/github-comment-on-issue.md

WHAT IT DOES

What github_comment_on_issue does on Integrations MCP

AI agents use github_comment_on_issue to create or update resources in Integrations MCP, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Integrations MCP environment.

RISK

Why github_comment_on_issue is rated Medium

This tool creates new data (a comment) on a GitHub issue, which is a reversible write operation. While comments can be edited or deleted afterward, the primary action is to create/post content. This is not destructive (the comment can be removed), not execute (no code execution or shell commands), and not financial.

From the tool's definition Tool name 'github_comment_on_issue' and description 'Create a comment on an issue' indicate creation of new content (a comment) on GitHub.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs github_comment_on_issue safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Integrations MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For github_comment_on_issue, this is the rule to start with:

github_comment_on_issue Rate-limited

github_comment_on_issue 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": {
    "github_comment_on_issue": {
      "limits": [
        {
          "counter": "github_comment_on_issue_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about github_comment_on_issue

What does the github_comment_on_issue tool do? +

Create a comment on an issue. It is categorised as a Write tool in the Integrations 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 github_comment_on_issue? +

Register the Integrations MCP server in PolicyLayer and add a rule for github_comment_on_issue: 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 Integrations MCP. Nothing to install.

What risk level is github_comment_on_issue? +

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

Can I rate-limit github_comment_on_issue? +

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

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

github_comment_on_issue is provided by the Integrations MCP server (shriram-vasudevan/integrations-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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