triage_issue

Triage an issue by capturing a focused triage rationale and optionally applying metadata (labels, issue type, and issue fields) in a single operation. Use this tool when: - You are triaging a newly opened or untriaged issue for maintainers - You need to categorize the issue (type) and suggest/app...

SERVERGitHub SOURCEoci:ghcr.io/github/github-mcp-server:1.3.0
Medium RISK CLASS
Category Write
Parameters 70 required
Recommended Rate-limitedsee the rule below
Registry record Grade D, identity verified Pull the record →

This record as markdown: /tools/github/triage-issue.md

What triage_issue does on GitHub

AI agents use triage_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.

ParameterTypeRequiredDescription
repo string Repository name
type string The issue type to set (optional, e.g., 'bug', 'feature_request')
owner string Repository owner (username or organization)
fields array Custom fields to set on the issue (optional)
labels array Labels to apply to the issue (optional)
issue_number number The issue number to triage
triage_rationale string The triage comment body containing analysis and rationale. This will be posted as a comment on the issue.

Parameters from the server's own tool schema.

Why triage_issue is rated Medium

This tool modifies issue state by applying labels, issue type, and custom fields—reversible write operations. While it doesn't delete data (ruling out Destructive) or execute arbitrary code (ruling out Execute), it does alter issue metadata that maintainers depend on.

From the tool's definition The tool description states it applies metadata (labels, issue type, and issue fields) and records a triage report in a single operation.

Questions about triage_issue

What does the triage_issue tool do? +

Triage an issue by capturing a focused triage rationale and optionally applying metadata (labels, issue type, and issue fields) in a single operation. Use this tool when: - You are triaging a newly opened or untriaged issue for maintainers - You need to categorize the issue (type) and suggest/apply relevant labels - You want to record a brief, structured triage report Do not use this tool when: - The user is asking a general product question unrelated to triaging a specific issue triage_rationale should be concise markdown aimed at maintainers (not the issue author); it should contain: - Summary of the issue - Analysis of the problem or request - Suggested next steps or actions. 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.

What parameters does triage_issue accept? +

triage_issue accepts 7 parameters: repo, type, owner, fields, labels, issue_number, triage_rationale. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on triage_issue? +

Register the GitHub MCP server in PolicyLayer and add a rule for triage_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.

What risk level is triage_issue? +

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

Can I rate-limit triage_issue? +

Yes. Add a rate_limit block to the triage_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 triage_issue completely? +

Set action: deny in the PolicyLayer policy for triage_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 triage_issue? +

triage_issue is provided by the GitHub MCP server (oci:ghcr.io/github/github-mcp-server:1.3.0). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on GitHub, and thousands of servers like it.

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