Medium Risk

sentry_resolve_issue

Mark a Sentry issue as resolved. Args: issue_id: Sentry issue ID to resolve.

How to control sentry_resolve_issue ↓

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

Medium Risk

This tool changes data state reversibly—issues can be unresolves if marked incorrectly—making it a Write operation rather than Destructive. The blast radius is medium: misuse could suppress visibility of real errors, delaying incident response, but the action is not financially damaging and remains reversible through re-opening the issue.

From the tool's definition Tool name 'sentry_resolve_issue' with description 'Mark a Sentry issue as resolved' modifies the state of an issue in Sentry (error tracking system) by changing its status from unresolved to resolved.

Documented attack patterns abuse exactly the kind of access sentry_resolve_issue gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and autoMate, and nothing reaches the server without passing your rules. This is the rule we recommend for sentry_resolve_issue:

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

sentry_resolve_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.

  1. Create a free account and register autoMate — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
LIMIT THIS TOOL →

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Go deeper

What does the sentry_resolve_issue tool do? +

Mark a Sentry issue as resolved. Args: issue_id: Sentry issue ID to resolve. It is categorised as a Write tool in the autoMate MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on sentry_resolve_issue? +

Register the autoMate MCP server in PolicyLayer and add a rule for sentry_resolve_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 autoMate. Nothing to install.

What risk level is sentry_resolve_issue? +

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

Can I rate-limit sentry_resolve_issue? +

Yes. Add a rate_limit block to the sentry_resolve_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 sentry_resolve_issue completely? +

Set action: deny in the PolicyLayer policy for sentry_resolve_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 sentry_resolve_issue? +

sentry_resolve_issue is provided by the autoMate MCP server (yuruotong1/automate). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every autoMate tool call.

Deterministic rules across all 128 autoMate tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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128 autoMate tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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