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iPythoning
by iPythoning

search_rss

Search RSS subscription data for articles containing a specific keyword. Filter by RSS source, time range, and result limit to find matching news items.

Instructions

搜索 RSS 数据

在 RSS 订阅数据中搜索包含指定关键词的文章。

Args: keyword: 搜索关键词(必需) feeds: RSS 源 ID 列表,如 ['hacker-news', '36kr'] - 不指定时:搜索所有 RSS 源 days: 搜索最近 N 天的数据,默认 7 天,最大 30 天 limit: 返回条数限制,默认50 include_summary: 是否包含文章摘要,默认False

Returns: JSON格式的匹配 RSS 条目列表

Examples: - search_rss(keyword="AI") - search_rss(keyword="machine learning", feeds=['hacker-news'], days=14)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNo
feedsNo
limitNo
keywordYes
include_summaryNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv6.10.0

TDQS

A4.1/5.0
Behavior4/5

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 covers feed scoping behavior, default and maximum days, limit default, include_summary default, and the JSON return format. It does not mention sorting, matching semantics, or error behavior, but these are relatively minor for a search tool.

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 a one-line summary, an Args block, Returns, and Examples. Every section earns its place, there is no filler, and the most important scoping information is front-loaded.

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

Completeness4/5

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

For a five-parameter search tool with no annotations, the description covers parameter semantics, defaults, return type, and provides two concrete invocation examples. It omits details like valid feed identifiers and sort order, but these are largely discoverable from sibling tools and do not prevent correct invocation.

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 has 0% description coverage, and the description fully compensates by explaining every parameter: keyword is required, feeds has an example and default behavior, days has default/max, limit has default, and include_summary has default. This adds significant meaning beyond the bare schema.

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

Purpose4/5

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

The description clearly states a specific action: searching RSS subscription data for articles containing a keyword. It is unambiguous about the resource (RSS 订阅数据) but does not explicitly distinguish itself from sibling tools like search_news or get_latest_rss, so it stops short of full differentiation.

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

Usage Guidelines3/5

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

The description gives useful behavioral context such as 'search all RSS feeds when feeds is not specified' and includes examples, which imply typical usage. However, it does not explicitly state when to prefer this tool over alternatives or when not to use it, leaving some routing decisions to the agent.

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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