assign_copilot_to_issue
A write tool on the GitHub MCP server.
This record as markdown: /tools/io-github-aifity-omnigit-mcp/assign-copilot-to-issue.md
What assign_copilot_to_issue does on GitHub
AI agents use assign_copilot_to_issue to create or update resources in GitHub, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your GitHub environment.
Why assign_copilot_to_issue is rated Medium
Assigning Copilot (or any user) to an issue is a metadata modification operation. While reversible and non-destructive, it constitutes a Write action as it modifies issue state. The severity is medium because the blast radius is limited to issue assignment changes, which could create confusion or ticket mismanagement if done incorrectly at scale, but poses no data destruction or security risk.
From the tool's definition The tool description indicates 'Assign Copilot to issue', which modifies an issue's metadata (assignee field) in a reversible manner. This is a write operation that creates or updates data without deletion.
Attacks that exploit this kind of access
The rule that runs assign_copilot_to_issue safely
PolicyLayer is an MCP gateway: it sits between your AI agents and GitHub, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For assign_copilot_to_issue, this is the rule to start with:
assign_copilot_to_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.
The button opens the PolicyLayer dashboard: create your workspace, connect GitHub, apply this rule, and every assign_copilot_to_issue call is checked against it from then on.
Questions about assign_copilot_to_issue
assign_copilot_to_issue is a write tool on the GitHub MCP server. It is categorised as a Write tool in the GitHub MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the GitHub MCP server in PolicyLayer and add a rule for assign_copilot_to_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 GitHub. Nothing to install.
assign_copilot_to_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 assign_copilot_to_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 assign_copilot_to_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.
assign_copilot_to_issue is provided by the GitHub MCP server (oci:ghcr.io/aifity/omnigit-mcp:0.5.0). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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