Get details of a specific Sentry issue. Args: issue_id: Sentry issue ID.
AI agents call sentry_get_issue to retrieve information from autoMate without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries error/issue details from Sentry (an error monitoring service) without modifying, deleting, or executing anything. It is a straightforward read operation that returns existing data. The severity is low because exposure of this tool would allow an AI agent to query error details, which may contain some sensitive information but does not permit modification or destruction of data.
From the tool's definition Tool name 'sentry_get_issue' and description 'Get details of a specific Sentry issue' indicate a retrieval operation with no side effects. The only argument is issue_id, a simple identifier for querying.
Documented attack patterns abuse exactly the kind of access sentry_get_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_get_issue:
{
"version": "1",
"default": "deny",
"tools": {
"sentry_get_issue": {}
}
}sentry_get_issue is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get details of a specific Sentry issue. Args: issue_id: Sentry issue ID. It is categorised as a Read tool in the autoMate MCP Server, which means it retrieves data without modifying state.
Register the autoMate MCP server in PolicyLayer and add a rule for sentry_get_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.
sentry_get_issue 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 sentry_get_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.
Set action: deny in the PolicyLayer policy for sentry_get_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.
sentry_get_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.
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.