List issues in a GitHub repository with filtering options
AI agents call list_issues to retrieve information from Server Github without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
page | number | — | |
repo | string | Yes | |
sort | string | — | |
owner | string | Yes | |
since | string | — | |
state | string | — | |
labels | array | — | |
per_page | number | — | |
direction | string | — |
Parameters from the server's own tool schema.
This tool retrieves and filters existing issue data from a GitHub repository. It performs no writes, deletes, executions, or financial operations. The worst-case misuse is information disclosure of issues that may already be visible in the repository, which is a low-severity read operation.
From the tool's definition Tool name 'list_issues' and description 'List issues in a GitHub repository with filtering options' indicate a query/retrieval operation with no data modification or side effects.
Attacks that exploit this kind of access
List issues in a GitHub repository with filtering options. It is categorised as a Read tool in the Server Github MCP Server, which means it retrieves data without modifying state.
list_issues accepts 9 parameters: page, repo, sort, owner, since, state, labels, per_page, direction. Required: repo, owner. The full parameter table on this page comes from the server's own tool schema.
Register the Server Github MCP server in PolicyLayer and add a rule for list_issues: 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 Server Github. Nothing to install.
list_issues 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 list_issues 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 list_issues. 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.
list_issues is provided by the Server Github MCP server (@iflow-mcp/server-github). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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