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TaiRaven
by TaiRaven

create_article

Create a new knowledge article in ServiceNow by providing title, body text, short description, category, and knowledge base. Specify HTML or Wiki format for the article body.

Instructions

Create a new knowledge article.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesMain body, HTML or wiki markup depending on article_type
titleYesTitle of the article — always wins over short_description if both are given, matching the reference project's own behavior
categoryYesCategory title or sys_id
keywordsNo
article_typeNoHTML or WikiHTML
knowledge_baseYesKnowledge base title or sys_id
short_descriptionYes
Behavior1/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says 'Create a new knowledge article' and reveals nothing about side effects, required permissions, or what counts as a successful creation. This is a significant gap for a mutation tool.

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

Conciseness2/5

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

The description is a single sentence, which is concise in length but severely under-specified. It omits essential context, making it an under-specification rather than a model of conciseness.

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

Completeness1/5

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

With 7 parameters (5 required), no output schema, and no annotations, the description is far too minimal. An agent cannot infer what constitutes a valid article, what fields are required beyond the schema, or what to expect in response.

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

Parameters2/5

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

Schema description coverage is 71%, partially documenting parameters like title, text, category, article_type, and knowledge_base, but keywords and short_description remain undocumented. The description adds no additional meaning about parameters, so it does not compensate for the coverage gap.

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 'Create a new knowledge article' states a specific verb and resource, making the core purpose clear. However, it does not differentiate from sibling tools like update_article or publish_article, so it lacks explicit distinction.

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?

No guidance is provided on when to use this tool versus alternatives. There is no mention of prerequisites, conditions, or when not to use it, leaving the agent without context for selection.

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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