Medium Risk

add_issue_comment

Add a comment to an existing issue

Risk signalsAccepts raw HTML/template content (body)

Part of the GitHub API MCP Server server.

add_issue_comment can modify GitHub API MCP Server data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use add_issue_comment to create or modify resources in GitHub API MCP Server. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call add_issue_comment repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach GitHub API MCP Server.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "add_issue_comment": {
      "limits": [
        {
          "counter": "add_issue_comment_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full GitHub API MCP Server policy for all 26 tools.

Get this rule live on your own GitHub API MCP Server server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access add_issue_comment gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so add_issue_comment only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the add_issue_comment tool do? +

Add a comment to an existing issue. It is categorised as a Write tool in the GitHub API MCP Server 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_issue_comment? +

Register the GitHub API MCP Server MCP server in PolicyLayer and add a rule for add_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 GitHub API MCP Server. Nothing to install.

What risk level is add_issue_comment? +

add_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_issue_comment? +

Yes. Add a rate_limit block to the add_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_issue_comment completely? +

Set action: deny in the PolicyLayer policy for add_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_issue_comment? +

add_issue_comment is provided by the GitHub API MCP Server MCP server (lowkeyrd/servers). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every GitHub API MCP Server tool call.

Deterministic rules across all 26 GitHub API MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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