AI agents use github_create_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.
Creating a GitHub issue is a reversible write operation—issues can be closed, deleted, or modified after creation. It has medium severity due to potential for spam, unauthorized issue filing, or pollution of project tracking systems, but lacks the irreversibility of destructive operations or financial impact.
From the tool's definition Tool name 'github_create_issue' indicates creation of a new GitHub issue. No description provided, but the naming convention and context within a SaaS integration server (with sibling tools like airtable_create_record, asana_create_task) confirms this creates…
Documented attack patterns abuse exactly the kind of access github_create_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 github_create_issue:
{
"version": "1",
"default": "deny",
"tools": {
"github_create_issue": {
"limits": [
{
"counter": "github_create_issue_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}github_create_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.
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github_create_issue. 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.
Register the autoMate MCP server in PolicyLayer and add a rule for github_create_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.
github_create_issue is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the github_create_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 github_create_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.
github_create_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.