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candidate_list_notes

Retrieve all notes for a specific candidate in the Ashby hiring pipeline to track application history and interview feedback.

Instructions

List all notes for a candidate.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
candidateIdYesThe candidate ID
limitNoMax results per page
cursorNoCursor for next page

Implementation Reference

  • The handle_call_tool function is the handler that executes all tools defined in the server, including candidate_list_notes, by routing to the appropriate Ashby API endpoint using the TOOL_ENDPOINT_MAP.
    @server.call_tool()
    async def handle_call_tool(name: str, arguments: dict[str, Any]) -> list[types.TextContent]:
        """Route tool calls to the correct Ashby endpoint, passing arguments directly."""
        endpoint = TOOL_ENDPOINT_MAP.get(name)
        if not endpoint:
            return [types.TextContent(type="text", text=f"Unknown tool: {name}")]
    
        try:
            # Pass arguments straight through -- tool schemas already use Ashby's
            # camelCase param names so no translation is needed.
            response = ashby.post(endpoint, data=arguments if arguments else None)
            return [types.TextContent(type="text", text=json.dumps(response, indent=2))]
        except requests.exceptions.HTTPError as e:
            error_body = ""
            if e.response is not None:
                try:
                    error_body = e.response.text
                except Exception:
                    pass
            return [
                types.TextContent(
                    type="text",
                    text=f"Ashby API error on {endpoint}: {e}\n{error_body}",
                )
            ]
        except Exception as e:
            return [types.TextContent(type="text", text=f"Error calling {endpoint}: {e}")]
  • The candidate_list_notes tool is defined and registered in the TOOLS list, including its input schema.
    types.Tool(
        name="candidate_list_notes",
        description="List all notes for a candidate.",
        inputSchema={
            "type": "object",
            "properties": {
                "candidateId": {"type": "string", "description": "The candidate ID"},
                "limit": {"type": "integer", "description": "Max results per page"},
                "cursor": {"type": "string", "description": "Cursor for next page"},
            },
            "required": ["candidateId"],
        },
    ),
  • The TOOL_ENDPOINT_MAP maps the candidate_list_notes tool name to the actual API endpoint '/candidate.listNotes'.
    TOOL_ENDPOINT_MAP = {
        "job_list": "/job.list",
        "job_info": "/job.info",
        "job_search": "/job.search",
        "candidate_list": "/candidate.list",
        "candidate_search": "/candidate.search",
        "candidate_info": "/candidate.info",
        "candidate_create": "/candidate.create",
        "candidate_create_note": "/candidate.createNote",
        "candidate_list_notes": "/candidate.listNotes",
        "candidate_add_tag": "/candidate.addTag",
        "candidate_tag_list": "/candidateTag.list",
        "application_list": "/application.list",
        "application_info": "/application.info",
        "application_create": "/application.create",
        "application_change_stage": "/application.change_stage",
        "interview_stage_list": "/interviewStage.list",
        "interview_plan_list": "/interviewPlan.list",
        "interview_list": "/interview.list",
        "interview_info": "/interview.info",
        "department_list": "/department.list",
        "user_list": "/user.list",
        "source_list": "/source.list",
        "archive_reason_list": "/archiveReason.list",
        "location_list": "/location.list",
    }

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