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sync_from_remote

Fetches recent data files from remote cloud storage to local environment for analysis, with configurable date range.

Instructions

从远程存储拉取数据到本地

用于 MCP Server 等场景:爬虫存到远程云存储(如 Cloudflare R2), MCP Server 拉取到本地进行分析查询。

Args: days: 拉取最近 N 天的数据,默认 7 天 - 0: 不拉取 - 7: 拉取最近一周的数据 - 30: 拉取最近一个月的数据

Returns: JSON格式的同步结果,包含: - success: 是否成功 - synced_files: 成功同步的文件数量 - synced_dates: 成功同步的日期列表 - skipped_dates: 跳过的日期(本地已存在) - failed_dates: 失败的日期及错误信息 - message: 操作结果描述

Examples: - sync_from_remote() # 拉取最近7天 - sync_from_remote(days=30) # 拉取最近30天

Note: 需要在 config/config.yaml 中配置远程存储(storage.remote)或设置环境变量: - S3_ENDPOINT_URL: 服务端点 - S3_BUCKET_NAME: 存储桶名称 - S3_ACCESS_KEY_ID: 访问密钥 ID - S3_SECRET_ACCESS_KEY: 访问密钥

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description carries the full transparency burden. It discloses that the tool skips dates already present locally (skipped_dates), reports failures (failed_dates), and requires specific configuration (S3 endpoints/keys). It does not explicitly discuss overwrite behavior, but overall it provides meaningful behavioral insight beyond the raw operation.

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

Conciseness5/5

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

The description is well-sectioned into purpose, args, returns, examples, and configuration notes. Each section contains necessary information and no filler. Though longer than some, it remains efficient and each sentence earns its place.

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

Completeness5/5

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

Given the tool has only one parameter and no annotations, the description is exceptionally complete: it explains the purpose, parameter semantics, prerequisites (config/env vars), return structure, and examples. The output schema exists, but the description still summarizes the result fields, which is helpful.

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

Parameters5/5

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

The schema only defines 'days' as an integer with default 7 and no description. The tool description compensates fully by explaining the meaning of 0 (no pull), 7, and 30, and provides examples. This adds significant value over the schema and clarifies allowed usage.

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 explicitly states '从远程存储拉取数据到本地' (pull data from remote storage to local), which is a specific verb+resource. It also provides a concrete use case (MCP Server scenario) that clarifies its distinct role among siblings like get_storage_status or list_available_dates.

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 gives clear context for when to use the tool (e.g., when a crawler stores data to remote cloud storage and needs to be pulled locally for analysis). It does not explicitly mention alternatives or when NOT to use it, but the scenario-based guidance is sufficient for most contexts.

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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