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list_articles
Read-only

List articles from a FreshRSS feed, category, label, or built-in stream, sorted newest first. Filter by read state, date range, or paginate results using a continuation token. Include article content by setting include_content=true.

Instructions

Lists articles from a feed, category, label or built-in stream, newest first. Returns short plain-text excerpts by default; set include_content=true for the article text, or fetch single articles with get_articles. FreshRSS has no full-text search over its API, so there is no way to query by keyword — narrow the result with feed_id/category and since/until instead and filter the returned articles yourself.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
labelNoUser label name exactly as returned by list_categories
limitNoMaximum number of articles, default 20
orderNoSort order by publication date, default newest
sinceNoOnly articles published after this ISO-8601 date
untilNoOnly articles published before this ISO-8601 date
filterNoRead state to return, default unread
streamNoBuilt-in stream: reading-list = everything (default), starred = favourites, main = feeds shown on the main stream, important = feeds marked important
feed_idNoNumeric feedId from list_feeds
categoryNoCategory (folder) name exactly as returned by list_categories
continuationNoContinuation value from a previous call, to fetch the next page
include_contentNoReturn the article text instead of a short excerpt
max_content_charsNoCharacters of article text per article, default 2000
Behavior5/5

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

The description discloses several behavioral traits beyond the readOnlyHint annotation: default returns excerpts, can return full text with include_content=true, newer-first ordering, pagination via continuation, and critical platform limitation 'FreshRSS has no full-text search over its API.' This provides rich context for safe and effective invocation.

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 three sentences, each carrying distinct and essential information: function, key options, and limitation/strategy. It is front-loaded with the core purpose, with no redundant or extraneous text.

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?

Given the tool has 12 parameters and no output schema, the description covers the main filtering strategy, default behavior, and a critical limitation (no full-text search). It mentions the alternative get_articles. However, it does not explain the response structure beyond 'short plain-text excerpts' or how multiple filters interact, leaving some ambiguity for complex queries.

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?

Schema coverage is 100%, so the baseline is 3. The description adds value by explaining the overall strategy (narrow with feed_id/category and date range, then filter) and the default response format (short plain-text excerpts). This synthesizes multiple parameters, going beyond individual schema descriptions.

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 'Lists articles from a feed, category, label or built-in stream, newest first.' This specifies the action (list), resource (articles), and sources (feed, category, label, stream), and distinguishes it from sibling tools like get_articles for fetching single articles.

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 guidance by mentioning an alternative ('fetch single articles with get_articles') and advising to narrow results with 'feed_id/category and since/until instead and filter the returned articles yourself.' It implies when to use this tool (listing multiple articles) and when not to (keyword search not possible), but it lacks explicit exclusions or precise when-to-use scenarios.

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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