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List articles

list_articles
Read-only

List knowledge-base articles. KnowledgeOwl API: GET /article.json. Optionally filter by project_id (the knowledge base). Returns the list envelope { valid, page_stats, data:[...] }.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
_pageNoKnowledgeOwl pagination page number, 1-based.
paramsNoAdditional documented query-string filters/operators to send verbatim (merged with the typed params above).
project_idNoFilter to a single knowledge base (project) id.

Schema Changelog

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

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, and the description adds useful behavior beyond that: the exact HTTP endpoint, the optional project_id filter, and the returned envelope { valid, page_stats, data:[...] }. No contradiction with the read-only annotation exists.

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?

Three compact sentences deliver the core operation, endpoint, optional filter, and return shape with no wasted words. The most important information is front-loaded.

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?

For a read-only listing tool with no required parameters, fully described schema, and no output schema, the description supplies the missing return envelope and endpoint. An agent has enough information to invoke it correctly and interpret the response.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema already documents _page, params, and project_id. The description only restates the project_id filter and contributes no additional parameter-level meaning beyond what the schema provides.

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 states a clear verb and resource: 'List knowledge-base articles' and identifies the KnowledgeOwl endpoint GET /article.json. It does not explicitly contrast itself with sibling tools like list_article_revisions or get_article, but the article-list scope is unambiguous.

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

Usage Guidelines2/5

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

The description gives no guidance on when to choose this tool over alternatives such as get_article, list_article_revisions, or list_article_versions. The optional project_id filter is parameter-level instruction, not usage routing.

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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TDQS

A3.8/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose targeting a specific resource (article, category, glossary, etc.) and action (create, get, list, update). There is no ambiguity or overlap between tool names.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern: create_X, get_X, list_X, update_X. The exception 'knowledgeowl_request' is a utility escape hatch, clearly marked, and does not break the overall pattern.

Tool Count4/5

At 24 tools, the set is slightly above the typical 3-15 range but still well-scoped for a knowledge base API covering many resources. Each tool serves a distinct purpose, and no tools are redundant.

Completeness2/5

The tool set lacks delete operations for all resources, and update operations are only available for articles and categories. Missing get tools for glossary terms, snippets, and other resources, though list tools are provided. This leaves significant gaps in lifecycle coverage.