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send_platform_message

Send messages via AstrBot's Web Chat API, supporting text, images, files, and multimedia content across platforms.

Instructions

通过 AstrBot 的 Web Chat API 发送消息链(支持文本、图片、文件等)。

参数:

  • platform_id: 平台 ID,例如 "webchat" 或配置中的平台 ID。

  • message_chain: 消息链,由 MessagePart 列表组成。

    • 文本: {"type": "plain", "text": "..."}

    • 回复: {"type": "reply", "message_id": "..."}

    • 图片/文件/语音/视频: {"type": "image"|"file"|"record"|"video", "file_path": "本地路径或URL"} 或 {"type": "...", "url": "http(s) URL"}

  • message / images / files / videos / records: 可选便捷参数;当未传 message_chain 时,会自动拼成消息链。

  • session_id: 可选的平台会话 ID;如果为空,会自动为该平台创建新会话。

  • selected_provider / selected_model: 可选,指定 AstrBot 内部的 provider/model。

  • enable_streaming: 是否启用流式回复(影响 AstrBot 返回的 SSE 事件类型)。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
platform_idYes
message_chainNo
messageNo
imagesNo
filesNo
videosNo
recordsNo
target_idNo
message_typeNoGroupMessage
session_idNo
conversation_idNo
use_last_sessionNo
new_sessionNo
reply_to_message_idNo
reply_to_last_saved_messageNo
reply_to_last_user_messageNo
selected_providerNo
selected_modelNo
enable_streamingNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • The core handler function implementing the 'send_platform_message' tool logic. It sends messages to AstrBot's Web Chat API, managing sessions, message chains (text, media, replies), attachment uploads, provider/model selection, and processes SSE response events.
    async def send_platform_message(
        platform_id: str,
        message_chain: Optional[List[MessagePart]] = None,
        message: Optional[str] = None,
        images: Optional[List[str]] = None,
        files: Optional[List[str]] = None,
        videos: Optional[List[str]] = None,
        records: Optional[List[str]] = None,
        target_id: Optional[str] = None,
        message_type: Literal["GroupMessage", "FriendMessage"] = "GroupMessage",
        session_id: Optional[str] = None,
        conversation_id: Optional[str] = None,
        use_last_session: bool = True,
        new_session: bool = False,
        reply_to_message_id: Optional[str] = None,
        reply_to_last_saved_message: bool = False,
        reply_to_last_user_message: bool = False,
        selected_provider: Optional[str] = None,
        selected_model: Optional[str] = None,
        enable_streaming: bool = True,
    ) -> Dict[str, Any]:
        """
        通过 AstrBot 的 Web Chat API 发送消息链(支持文本、图片、文件等)。
    
        参数:
          - platform_id: 平台 ID,例如 "webchat" 或配置中的平台 ID。
          - message_chain: 消息链,由 MessagePart 列表组成。
            - 文本:  {"type": "plain", "text": "..."}
            - 回复:  {"type": "reply", "message_id": "..."}
            - 图片/文件/语音/视频: {"type": "image"|"file"|"record"|"video", "file_path": "本地路径或URL"} 或 {"type": "...", "url": "http(s) URL"}
          - message / images / files / videos / records: 可选便捷参数;当未传 message_chain 时,会自动拼成消息链。
          - session_id: 可选的平台会话 ID;如果为空,会自动为该平台创建新会话。
          - selected_provider / selected_model: 可选,指定 AstrBot 内部的 provider/model。
          - enable_streaming: 是否启用流式回复(影响 AstrBot 返回的 SSE 事件类型)。
        """
        client = AstrBotClient.from_env()
    
        if target_id:
            direct_result = await send_platform_message_direct(
                platform_id=platform_id,
                target_id=str(target_id),
                message_chain=message_chain,
                message=message,
                images=images,
                files=files,
                videos=videos,
                records=records,
                message_type=message_type,
            )
            if isinstance(direct_result, dict):
                direct_result.setdefault("mode", "direct")
            return direct_result
    
        mode = "webchat"
        session_platform_id = "webchat"
        routing_debug: Dict[str, Any] = {}
        send_started_at = datetime.now(timezone.utc)
    
        if message_chain is None:
            message_chain = []
            if message:
                message_chain.append({"type": "plain", "text": message})
            for src in images or []:
                message_chain.append({"type": "image", "file_path": src})
            for src in files or []:
                message_chain.append({"type": "file", "file_path": src})
            for src in records or []:
                message_chain.append({"type": "record", "file_path": src})
            for src in videos or []:
                message_chain.append({"type": "video", "file_path": src})
    
        # 1. 确保有 session_id
        explicit_session_id = session_id or conversation_id
        used_session_id: str | None = None
        session_reused = False
    
        if (
            explicit_session_id
            and isinstance(explicit_session_id, str)
            and explicit_session_id.strip()
        ):
            used_session_id = explicit_session_id.strip()
            async with _SESSION_CACHE_LOCK:
                _SESSION_CACHE[_session_cache_key(client, session_platform_id)] = used_session_id
        elif use_last_session and not new_session:
            async with _SESSION_CACHE_LOCK:
                cached = _SESSION_CACHE.get(_session_cache_key(client, session_platform_id))
            if cached:
                used_session_id = cached
                session_reused = True
    
        if new_session or not used_session_id:
            try:
                session_resp = await client.create_platform_session(
                    platform_id=session_platform_id
                )
            except Exception as e:
                return {
                    "status": "error",
                    "message": f"AstrBot API error: {e.response.status_code if hasattr(e, 'response') else 'Unknown'}",
                    "mode": mode,
                    "platform_id": session_platform_id,
                    "requested_platform_id": platform_id,
                    "base_url": client.base_url,
                    "detail": _httpx_error_detail(e),
                }
            if session_resp.get("status") != "ok":
                return {
                    "status": session_resp.get("status"),
                    "message": session_resp.get("message"),
                    "raw": session_resp,
                }
            data = session_resp.get("data") or {}
            used_session_id = data.get("session_id")
            if not used_session_id:
                return {
                    "status": "error",
                    "message": "Failed to create platform session: missing session_id",
                    "raw": session_resp,
                }
            used_session_id = str(used_session_id)
            async with _SESSION_CACHE_LOCK:
                _SESSION_CACHE[_session_cache_key(client, session_platform_id)] = used_session_id
            session_reused = False
    
        used_session_id = str(used_session_id)
    
        if client.settings.username:
            username = client.settings.username.strip() or "astrbot"
            umo = f"webchat:FriendMessage:webchat!{username}!{used_session_id}"
            routing_debug["umo"] = umo
    
            # 1) Ensure UMO -> abconf route exists (the dashboard does this automatically).
            try:
                ucr_resp = await client.get_umo_abconf_routes()
                routing_debug["ucr_get"] = ucr_resp if ucr_resp.get("status") != "ok" else None
                if ucr_resp.get("status") == "ok":
                    routing = (ucr_resp.get("data") or {}).get("routing") or {}
                    if isinstance(routing, dict):
                        if umo in routing:
                            routing_debug["ucr_has_route"] = True
                        else:
                            routing_debug["ucr_has_route"] = False
                            prefix = f"webchat:FriendMessage:webchat!{username}!"
                            conf_id: str | None = None
                            for k, v in routing.items():
                                if isinstance(k, str) and k.startswith(prefix):
                                    conf_id = str(v)
                                    break
    
                            if not conf_id:
                                abconfs = await client.get_abconf_list()
                                info_list = (abconfs.get("data") or {}).get("info_list") or []
                                if isinstance(info_list, list):
                                    # Prefer an active/current config if present.
                                    for item in info_list:
                                        if not isinstance(item, dict):
                                            continue
                                        if item.get("active") or item.get("current") or item.get("is_current"):
                                            cid = item.get("id") or item.get("conf_id")
                                            if cid:
                                                conf_id = str(cid)
                                                break
                                    if not conf_id:
                                        for item in info_list:
                                            if not isinstance(item, dict):
                                                continue
                                            cid = item.get("id") or item.get("conf_id")
                                            if cid:
                                                conf_id = str(cid)
                                                break
                                routing_debug["abconf_pick"] = conf_id
    
                            if conf_id:
                                upd = await client.update_umo_abconf_route(umo=umo, conf_id=conf_id)
                                routing_debug["ucr_update"] = upd
            except Exception as e:
                routing_debug["ucr_exception"] = str(e)
    
            # 2) Copy provider_perf rule from an existing webchat UMO (avoids "no provider supported" on fresh sessions).
            try:
                rules_resp = await client.list_session_rules(
                    page=1, page_size=100, search=f"webchat!{username}!"
                )
                routing_debug["session_rules_get"] = (
                    rules_resp if rules_resp.get("status") != "ok" else None
                )
                if rules_resp.get("status") == "ok":
                    data = rules_resp.get("data") or {}
                    rules_list = data.get("rules") or []
                    if isinstance(rules_list, list):
                        source_umo = None
                        source_key = None
                        source_val = None
                        for item in rules_list:
                            if not isinstance(item, dict):
                                continue
                            rules = item.get("rules") or {}
                            if not isinstance(rules, dict):
                                continue
                            for k, v in rules.items():
                                if isinstance(k, str) and k.startswith("provider_perf_") and "chat" in k:
                                    source_umo = item.get("umo")
                                    source_key = k
                                    source_val = v
                                    break
                            if source_key:
                                break
    
                        if source_key and source_val is not None:
                            upd = await client.update_session_rule(
                                umo=umo, rule_key=source_key, rule_value=source_val
                            )
                            routing_debug["provider_rule_copied_from"] = source_umo
                            routing_debug["provider_rule_key"] = source_key
                            routing_debug["provider_rule_update"] = upd
            except Exception as e:
                routing_debug["session_rules_exception"] = str(e)
        else:
            routing_debug["skipped"] = "No ASTRBOT_USERNAME configured; cannot mirror dashboard session routing."
    
        if reply_to_last_user_message and not reply_to_message_id:
            async with _LAST_USER_MESSAGE_ID_LOCK:
                reply_to_message_id = _LAST_USER_MESSAGE_ID_BY_SESSION.get(
                    _last_saved_key(client, used_session_id)
                )
    
        # reply_to_last_saved_message historically points to the last saved bot message (message_saved.id).
        # With user_message_saved supported, callers can prefer last_user_message_id from the response.
        if reply_to_last_saved_message and not reply_to_message_id:
            async with _LAST_SAVED_MESSAGE_ID_LOCK:
                reply_to_message_id = _LAST_SAVED_MESSAGE_ID_BY_SESSION.get(
                    _last_saved_key(client, used_session_id)
                )
    
        # 2. 把 message_chain 转成 AstrBot chat/send 需要的 message_parts
        explicit_reply_present = False
        for part in message_chain:
            if not isinstance(part, dict):
                continue
            if part.get("type") in ("reply", "quote", "reference"):
                msg_id = part.get("message_id") or part.get("id")
                if msg_id is not None and str(msg_id).strip():
                    explicit_reply_present = True
                    break
    
        message_parts: List[Dict[str, Any]] = []
        reply_ids: List[str] = []
        if reply_to_message_id and not explicit_reply_present:
            message_parts.append(
                {
                    "type": "reply",
                    "message_id": _normalize_history_message_id(reply_to_message_id),
                }
            )
            reply_ids.append(str(reply_to_message_id))
    
        quote_debug: Dict[str, Any] | None = None
        uploaded_attachments: List[Dict[str, Any]] = []
    
        for part in message_chain:
            p_type = part.get("type")
    
            if p_type == "plain":
                text = part.get("text", "")
                message_parts.append({"type": "plain", "text": text})
            elif p_type in ("reply", "quote", "reference"):
                msg_id = part.get("message_id") or part.get("id")
                if msg_id is None:
                    continue
                msg_id_str = str(msg_id).strip()
                if not msg_id_str:
                    continue
                message_parts.append(
                    {"type": "reply", "message_id": _normalize_history_message_id(msg_id)}
                )
                reply_ids.append(msg_id_str)
            elif p_type in ("image", "file", "record", "video"):
                file_path = part.get("file_path")
                url = part.get("url")
                file_name = part.get("file_name")
                mime_type = part.get("mime_type")
    
                src = url or file_path
                if not src:
                    continue
    
                if isinstance(src, str) and src.startswith(("http://", "https://")):
                    if not file_name:
                        from urllib.parse import urlparse
                        parsed = urlparse(src)
                        file_name = os.path.basename(parsed.path) or None
                    try:
                        attach_resp = await client.post_attachment_url(
                            src,
                            file_name=file_name,
                            mime_type=mime_type,
                        )
                    except Exception as e:
                        return {
                            "status": "error",
                            "message": f"AstrBot API error: {e.response.status_code if hasattr(e, 'response') else 'Unknown'}",
                            "platform_id": platform_id,
                            "session_id": used_session_id,
                            "base_url": client.base_url,
                            "detail": _httpx_error_detail(e),
                        }
                else:
                    if not isinstance(src, str):
                        return {
                            "status": "error",
                            "message": f"Invalid local file_path: {src!r}",
                            "platform_id": platform_id,
                            "session_id": used_session_id,
                            "part": dict(part),
                        }
                    try:
                        src = _resolve_local_file_path(client, src)
                    except ValueError as e:
                        return {
                            "status": "error",
                            "message": str(e),
                            "platform_id": platform_id,
                            "session_id": used_session_id,
                            "part": dict(part),
                            "hint": "Set ASTRBOTMCP_FILE_ROOT to control how relative paths are resolved.",
                        }
                    except FileNotFoundError:
                        return {
                            "status": "error",
                            "message": f"Local file_path does not exist: {src!r}",
                            "platform_id": platform_id,
                            "session_id": used_session_id,
                            "part": dict(part),
                            "hint": "If you passed a relative path, set ASTRBOTMCP_FILE_ROOT (or run the server in the correct working directory).",
                        }
                    try:
                        attach_resp = await client.post_attachment_file(
                            src,
                            file_name=file_name,
                            mime_type=mime_type,
                        )
                    except Exception as e:
                        return {
                            "status": "error",
                            "message": f"AstrBot API error: {e.response.status_code if hasattr(e, 'response') else 'Unknown'}",
                            "platform_id": platform_id,
                            "session_id": used_session_id,
                            "base_url": client.base_url,
                            "detail": _httpx_error_detail(e),
                        }
                if attach_resp.get("status") != "ok":
                    return {
                        "status": attach_resp.get("status"),
                        "message": attach_resp.get("message"),
                        "raw": attach_resp,
                    }
                attach_data = attach_resp.get("data") or {}
                attachment_id = attach_data.get("attachment_id")
                if not attachment_id:
                    return {
                        "status": "error",
                        "message": "Attachment upload succeeded but attachment_id is missing",
                        "raw": attach_resp,
                    }
                # /api/chat/send has a pre-check based on `type`, so include media type
                # alongside attachment_id (otherwise it may treat the message as empty).
                attachment_type = attach_data.get("type") or p_type
                message_parts.append({"type": attachment_type, "attachment_id": attachment_id})
                uploaded_attachments.append(attach_data)
            else:
                # 忽略未知类型
                continue
    
        if reply_ids:
            try:
                _ignored, quote_debug = await _resolve_webchat_quotes(
                    client, session_id=used_session_id, reply_ids=reply_ids
                )
            except Exception as e:
                quote_debug = {"error": str(e), "resolved": {}, "missing": reply_ids}
    
        if not message_parts:
            return {
                "status": "error",
                "message": "message_chain did not produce any valid message parts",
                "mode": mode,
                "platform_id": session_platform_id,
                "requested_platform_id": platform_id,
                "quote_debug": quote_debug,
                "routing_debug": routing_debug,
            }
    
        # 3. 调用 /api/chat/send 并消费 SSE 回复
        # Mirror dashboard behavior: prefer session rules and UMO routing.
        # If we cannot infer/copy provider rules for a brand-new session, fall back to env defaults.
        effective_provider = selected_provider
        effective_model = selected_model
        if (
            effective_provider is None
            and effective_model is None
            and not routing_debug.get("provider_rule_key")
        ):
            effective_provider = client.settings.default_provider
            effective_model = client.settings.default_model
    
        try:
            events = await client.send_chat_message_sse(
                session_id=used_session_id,
                message_parts=message_parts,
                selected_provider=effective_provider,
                selected_model=effective_model,
                enable_streaming=enable_streaming,
            )
        except Exception as e:
            status_code = getattr(getattr(e, "response", None), "status_code", None)
            return {
                "status": "error",
                "message": (
                    f"AstrBot API error: HTTP {status_code}"
                    if status_code is not None
                    else f"AstrBot API error: {e}"
                ),
                "mode": mode,
                "platform_id": session_platform_id,
                "requested_platform_id": platform_id,
                "session_id": used_session_id,
                "selected_provider": effective_provider,
                "selected_model": effective_model,
                "request_message_parts": message_parts,
                "detail": _httpx_error_detail(e),
                "astrbot_logs_tail": await _get_astrbot_log_tail(client),
                "hint": (
                    "If you see 'has no provider supported' in AstrBot logs, "
                    "set selected_provider/selected_model (or env ASTRBOT_DEFAULT_PROVIDER/ASTRBOT_DEFAULT_MODEL)."
                ),
                "quote_debug": quote_debug,
                "routing_debug": routing_debug,
            }
    
        # 简单聚合文本回复(仅供参考,保留原始事件)
        reply_text_chunks: List[str] = []
        saved_message_ids: List[str] = []
        user_message_ids: List[str] = []
        if not events:
            return {
                "status": "error",
                "message": "AstrBot returned no SSE events for /api/chat/send",
                "mode": mode,
                "platform_id": session_platform_id,
                "requested_platform_id": platform_id,
                "session_id": used_session_id,
                "selected_provider": effective_provider,
                "selected_model": effective_model,
                "request_message_parts": message_parts,
                "astrbot_logs_tail": await _get_astrbot_log_tail(client),
                "hint": "Check AstrBot logs for the root cause (often provider/model config).",
                "quote_debug": quote_debug,
                "routing_debug": routing_debug,
            }
    
        # If we only got bookkeeping events (e.g., user_message_saved) but no response stream at all,
        # treat it as an error while still returning useful ids.
        response_types = {
            "plain",
            "complete",
            "image",
            "record",
            "file",
            "message_saved",
            "end",
            "break",
            "raw",
        }
        has_response = any(ev.get("type") in response_types for ev in events if isinstance(ev, dict))
        if not has_response:
            user_ids = []
            for ev in events:
                if not isinstance(ev, dict):
                    continue
                if ev.get("type") == "user_message_saved":
                    data = ev.get("data") or {}
                    mid = data.get("id")
                    if mid is not None:
                        user_ids.append(str(mid))
            # Some plugins reply by side effects (e.g., sending messages via adapters) and may only
            # emit bookkeeping events on the WebChat SSE stream. Treat as ok but include a warning.
            return {
                "status": "ok",
                "warning": "No reply events were observed on the /api/chat/send SSE stream; check AstrBot logs if you expected an LLM reply.",
                "mode": mode,
                "platform_id": session_platform_id,
                "requested_platform_id": platform_id,
                "session_id": used_session_id,
                "selected_provider": effective_provider,
                "selected_model": effective_model,
                "request_message_parts": message_parts,
                "user_message_ids": user_ids,
                "last_user_message_id": (user_ids[-1] if user_ids else None),
                "quote_debug": quote_debug,
                "routing_debug": routing_debug,
                "reply_events": events,
                "astrbot_logs_tail": await _get_astrbot_log_tail(client),
            }
    
        for ev in events:
            if ev.get("type") == "user_message_saved":
                data = ev.get("data") or {}
                saved_id = data.get("id")
                if saved_id is not None:
                    user_message_ids.append(str(saved_id))
                    async with _LAST_USER_MESSAGE_ID_LOCK:
                        _LAST_USER_MESSAGE_ID_BY_SESSION[_last_saved_key(client, used_session_id)] = str(
                            saved_id
                        )
            if ev.get("type") == "message_saved":
                data = ev.get("data") or {}
                saved_id = data.get("id")
                if saved_id is not None:
                    saved_message_ids.append(str(saved_id))
            if ev.get("type") in ("plain", "complete"):
                data = ev.get("data")
                if isinstance(data, str):
                    reply_text_chunks.append(data)
    
        # Fallback: some AstrBot versions do not emit `user_message_saved`.
        # Try to infer the latest user message id by fetching /api/chat/get_session and scanning history.
        if not user_message_ids:
            match_hint = None
            for part in message_parts:
                if not isinstance(part, dict):
                    continue
                if part.get("type") == "plain":
                    txt = part.get("text")
                    if isinstance(txt, str) and txt.strip():
                        match_hint = txt.strip()
                        break
    
            try:
                sess = await client.get_platform_session(session_id=used_session_id)
                if sess.get("status") == "ok":
                    history = (sess.get("data") or {}).get("history") or []
                    if isinstance(history, list):
                        expected_sender = (client.settings.username or "").strip() or None
    
                        def is_recent_user_record(item: Dict[str, Any]) -> bool:
                            if not isinstance(item, dict):
                                return False
                            content = item.get("content") or {}
                            if not isinstance(content, dict) or content.get("type") != "user":
                                return False
                            if expected_sender and item.get("sender_name") != expected_sender:
                                return False
                            if match_hint:
                                extracted = _extract_plain_text_from_history_item(item)
                                if match_hint[:32] not in extracted:
                                    return False
                            created_at = item.get("created_at")
                            if isinstance(created_at, str) and created_at:
                                try:
                                    # e.g. 2025-12-18T21:47:07.684801+08:00
                                    dt = datetime.fromisoformat(created_at)
                                    if dt.tzinfo is None:
                                        dt = dt.replace(tzinfo=timezone.utc)
                                    # accept a small clock skew window
                                    return dt.astimezone(timezone.utc) >= send_started_at.replace(
                                        microsecond=0
                                    ) - timedelta(seconds=5)
                                except Exception:
                                    pass
                            return True
    
                        # Look from newest to oldest for a likely match.
                        for item in reversed(history):
                            if not isinstance(item, dict):
                                continue
                            if not is_recent_user_record(item):
                                continue
                            mid = item.get("id")
                            if mid is None:
                                continue
                            user_message_ids.append(str(mid))
                            async with _LAST_USER_MESSAGE_ID_LOCK:
                                _LAST_USER_MESSAGE_ID_BY_SESSION[_last_saved_key(client, used_session_id)] = str(
                                    mid
                                )
                            break
            except Exception as e:
                routing_debug["user_id_fallback_exception"] = str(e)
    
        last_saved_message_id: str | None = (
            saved_message_ids[-1] if saved_message_ids else None
        )
        last_user_message_id: str | None = (
            user_message_ids[-1] if user_message_ids else None
        )
        if last_saved_message_id:
            async with _LAST_SAVED_MESSAGE_ID_LOCK:
                _LAST_SAVED_MESSAGE_ID_BY_SESSION[_last_saved_key(client, used_session_id)] = (
                    last_saved_message_id
                )
    
        return {
            "status": "ok",
            "mode": mode,
            "platform_id": session_platform_id,
            "requested_platform_id": platform_id,
            "session_id": used_session_id,
            "conversation_id": used_session_id,
            "session_reused": session_reused,
            "selected_provider": effective_provider,
            "selected_model": effective_model,
            "request_message_parts": message_parts,
            "uploaded_attachments": uploaded_attachments,
            "reply_events": events,
            "reply_text": "".join(reply_text_chunks),
            "user_message_ids": user_message_ids,
            "last_user_message_id": last_user_message_id,
            "saved_message_ids": saved_message_ids,
            "last_saved_message_id": last_saved_message_id,
            "quote_debug": quote_debug,
            "routing_debug": routing_debug,
        }
  • Registers the send_platform_message handler with the FastMCP server under the tool name 'send_platform_message'.
    server.tool(astrbot_tools.send_platform_message, name="send_platform_message")
  • TypedDict schema defining the structure of individual parts in the message_chain parameter for the tool.
    class MessagePart(TypedDict, total=False):
        """
        A single message part for send_platform_message.
    
        Types:
          - plain:  {"type": "plain", "text": "..."}
          - reply:  {"type": "reply", "message_id": "..."}
          - quote:  {"type": "quote", "message_id": "..."}  (alias of reply)
          - reference: {"type": "reference", "message_id": "..."}  (alias of reply)
          - image:  {"type": "image", "file_path": "..."} or {"type": "image", "url": "https://..."}
          - file:   {"type": "file", "file_path": "..."}  or {"type": "file", "url": "https://..."}
          - record: {"type": "record", "file_path": "..."} or {"type": "record", "url": "https://..."}
          - video:  {"type": "video", "file_path": "..."} or {"type": "video", "url": "https://..."}
        """
    
        type: Literal[
            "plain",
            "reply",
            "quote",
            "reference",
            "image",
            "file",
            "record",
            "video",
        ]
        text: str
        message_id: str
        id: str
        file_path: str
        url: str
        file_name: str
        mime_type: str
  • The tool is listed in the astrbot://info resource, advertising it to MCP hosts.
    "send_platform_message",
    "send_platform_message_direct",
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It describes the tool's core functionality (sending message chains) and mentions some behavioral aspects: optional parameters that auto-build message chains, automatic session creation if session_id is empty, and that enable_streaming affects SSE event types. However, it doesn't cover important behavioral traits like whether this is a read-only or destructive operation, rate limits, authentication requirements, error conditions, or what the response looks like.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with a clear purpose statement followed by parameter explanations. It's appropriately sized for a complex tool with 19 parameters. Most sentences add value, though some parameter explanations could be more concise. The information is front-loaded with the core purpose first.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (19 parameters, no annotations, 0% schema description coverage, but with output schema), the description is moderately complete. It explains the core functionality and many parameters but leaves 8 parameters undocumented. The existence of an output schema means the description doesn't need to explain return values, but for a mutation tool with no annotations and poor schema documentation, more behavioral context would be helpful.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description must compensate for the schema's lack of parameter documentation. The description provides meaningful semantic information for 7 parameters (platform_id, message_chain, message, images, files, videos, records, session_id, selected_provider, selected_model, enable_streaming), explaining what they represent and how they interact. However, it doesn't cover the remaining 8 parameters (target_id, message_type, conversation_id, use_last_session, new_session, reply_to_message_id, reply_to_last_saved_message, reply_to_last_user_message), leaving significant gaps.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: '通过 AstrBot 的 Web Chat API 发送消息链(支持文本、图片、文件等)' which translates to 'Send message chains via AstrBot's Web Chat API (supports text, images, files, etc.)'. It specifies the verb 'send', the resource 'message chains', and the mechanism 'AstrBot's Web Chat API'. It also distinguishes from sibling 'send_platform_message_direct' by implying this is the standard API-based method.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context for usage: it's for sending messages via AstrBot's Web Chat API. It mentions alternative parameters ('message / images / files / videos / records') that can be used instead of 'message_chain' for convenience. However, it doesn't explicitly state when to use this tool versus the sibling 'send_platform_message_direct', nor does it mention any prerequisites or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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