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SsdSalesman

TrendRadar

by SsdSalesman

sync_from_remote

Fetches remote data to local for analysis, with configurable day range. Ensures local datasets are ready for MCP server queries.

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 provided, the description carries the burden. It discloses behavior: pulls recent N days, skips dates already present locally, returns structured results, and requires specific configuration. It doesn't mention potential overwrites or side effects in detail, but covers the main behavior and prerequisites.

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-structured with clear sections (summary, use case, args, returns, examples, note). It is appropriately detailed without redundancy; every line adds useful information for invocation.

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?

The description is complete for a single-parameter tool: it explains purpose, parameter values, return structure, examples, and configuration requirements. It anticipates potential issues (missing config) and clarifies behavior (skip existing dates).

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?

Schema coverage is 0%, but the description fully compensates by explaining the 'days' parameter with default value, meaning of specific values (0, 7, 30), and providing examples. This gives the agent all necessary information to choose the right parameter value.

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 action (sync/pull) and resource (remote storage to local) with a specific use case (MCP Server pulling cloud-stored crawler data). It distinguishes from siblings like get_storage_status (status check) and trigger_crawl (initiate crawl) by focusing on data transfer.

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 when to use the tool (when remote data is needed locally for analysis) and explains the typical scenario. It does not explicitly name alternatives or exclusions, but the context is sufficient to avoid confusion with sibling tools.

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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