Medium Risk

assign_copilot_to_issue

Assign Copilot to a specific issue in a GitHub repository. This tool can help with the following outcomes: - a Pull Request created with source code changes to resolve the issue More information can be found at: - https://docs.github.com/en/copilot/using-github-copilot/using-copilot-coding-age...

Single-target operation

Part of the GitHub MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

@github/github-mcp-server Write Risk 2/5

AI agents use assign_copilot_to_issue to create or modify resources in GitHub. 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 assign_copilot_to_issue repeatedly, creating or modifying resources faster than any human could review. Intercept's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach GitHub.

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

github.yaml
tools:
  assign_copilot_to_issue:
    rules:
      - action: allow
        rate_limit:
          max: 30
          window: 60

See the full GitHub policy for all 86 tools.

Tool Name assign_copilot_to_issue
Category Write
MCP Server GitHub MCP Server
Risk Level Medium

View all 86 tools →

Agents calling write-class tools like assign_copilot_to_issue have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Write risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

What does the assign_copilot_to_issue tool do? +

Assign Copilot to a specific issue in a GitHub repository. This tool can help with the following outcomes: - a Pull Request created with source code changes to resolve the issue More information can be found at: - https://docs.github.com/en/copilot/using-github-copilot/using-copilot-coding-agent-to-work-on-tasks/about-assigning-tasks-to-copilot . 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.

How do I enforce a policy on assign_copilot_to_issue? +

Add a rule in your Intercept YAML policy under the tools section for assign_copilot_to_issue. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the GitHub MCP server.

What risk level is assign_copilot_to_issue? +

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

Can I rate-limit assign_copilot_to_issue? +

Yes. Add a rate_limit block to the assign_copilot_to_issue rule in your Intercept 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 assign_copilot_to_issue completely? +

Set action: deny in the Intercept 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.

What MCP server provides assign_copilot_to_issue? +

assign_copilot_to_issue is provided by the GitHub MCP server (@github/github-mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on GitHub

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
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