tool_get_answer_group_detail
Inspect answer group details including members, crops, and graded status to prepare for batch grading on Gradescope.
Instructions
Get detail for one answer group: members, crops, graded status.
Use this to inspect what answers are in a group before batch-grading.
Args:
course_id: The Gradescope course ID.
question_id: The question ID.
group_id: The answer group ID.
output_format: "markdown" or "json" for structured output.Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| course_id | Yes | ||
| question_id | Yes | ||
| group_id | Yes | ||
| output_format | No | markdown |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Implementation Reference
- Implementation of the answer group detail logic.
def get_answer_group_detail( course_id: str, question_id: str, group_id: str, output_format: str = "markdown", ) -> str: """Get detailed information about a specific answer group. Shows the group's title, member submissions, graded status, and representative crop images. Use this to understand what answers are in a group before batch-grading. Args: course_id: The Gradescope course ID. question_id: The question ID. group_id: The answer group ID (from get_answer_groups). output_format: "markdown" (default) or "json" for structured output. """ if not course_id or not question_id or not group_id: return "Error: course_id, question_id, and group_id are required." try: data = _fetch_answer_groups_json(course_id, question_id) except AuthError as e: return f"Authentication error: {e}" except ValueError as e: return f"Error: {e}" except Exception as e: return f"Error fetching answer group detail: {e}" groups = data.get("groups", []) submissions = data.get("submissions", []) # Find the target group target_group = None for g in groups: if str(g["id"]) == str(group_id): - src/gradescope_mcp/server.py:571-588 (registration)Registration and MCP tool definition for get_answer_group_detail.
@mcp.tool() def tool_get_answer_group_detail( course_id: str, question_id: str, group_id: str, output_format: str = "markdown", ) -> str: """Get detail for one answer group: members, crops, graded status. Use this to inspect what answers are in a group before batch-grading. Args: course_id: The Gradescope course ID. question_id: The question ID. group_id: The answer group ID. output_format: "markdown" or "json" for structured output. """ return get_answer_group_detail(course_id, question_id, group_id, output_format)