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tannertm0
by tannertm0

create_solution_article

Create knowledge base articles in Freshservice to document solutions, organize information in folders, and publish content for support teams.

Instructions

Create a new knowledge base article

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYesArticle title
descriptionYesArticle content (HTML supported)
folder_idYesFolder ID to create article in
statusNo1=Draft, 2=Published
tagsNoArticle tags
Behavior2/5

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. While 'Create' implies a write operation, the description doesn't mention authentication requirements, permission levels needed, whether the operation is idempotent, what happens on failure, or what the response contains. For a creation tool with zero annotation coverage, this leaves critical behavioral aspects unspecified.

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 a single, efficient sentence that communicates the core purpose without unnecessary words. It's appropriately sized for a tool with good schema documentation and gets straight to the point. Every word earns its place in this minimal but complete statement of function.

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

Completeness2/5

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

For a creation tool with no annotations and no output schema, the description is insufficiently complete. It doesn't address what happens after creation (success response format, error conditions), permission requirements, or how this tool fits into broader workflows with sibling tools like get_solution_folder or update_solution_article. The 100% schema coverage helps with inputs, but the overall context for using this tool remains under-specified.

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?

The description adds no parameter information beyond what's already in the schema, which has 100% coverage with clear descriptions for all 5 parameters. The baseline score of 3 reflects that the schema adequately documents parameters, so the description doesn't need to compensate. However, it also doesn't provide any additional context about parameter relationships or usage patterns.

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 the action ('Create') and resource ('knowledge base article'), making the purpose immediately understandable. It distinguishes this from sibling tools like 'update_solution_article' or 'delete_solution_article' by specifying creation rather than modification or deletion. However, it doesn't explicitly differentiate from other creation tools like 'create_ticket' or 'create_asset' beyond the resource type.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (like needing a folder_id from get_solution_folder), when to choose this over update_solution_article for modifications, or how it relates to other knowledge base operations. With many sibling tools available, this lack of context leaves the agent guessing about appropriate usage 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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