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search_articles

Search Kettle Logic insight articles by title, slug or description.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

C2.7/5.0
Behavior2/5

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

With no annotations, the description carries full burden but only states search fields. It does not disclose behavior like pagination, result ordering, or error cases. The existence of an output schema helps, but the description adds little beyond that.

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

Conciseness4/5

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

A single sentence front-loads the main action. It is very concise, but this comes at the cost of omitting important details about parameters and usage.

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?

Given the tool has only 2 parameters and an output schema, the description is too brief. It fails to explain the limit parameter, search algorithm, or how it differs from sibling tools, leaving gaps for an agent.

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 coverage is 0%, so description must explain parameters. It adds meaning to 'query' by indicating it applies to title, slug, or description. However, 'limit' (default 5) is not mentioned, leaving its role unclear.

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 tool searches articles by title, slug, or description. It is specific about the resource and action, though it could better distinguish from siblings like list_articles or get_article.

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 such as get_article for a single article or list_articles for all articles. No exclusions or context are mentioned.

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 distinct purpose: fetching a single article, fetching an industry overview, listing articles, listing industries, and searching articles. There is no overlap or ambiguity.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case (e.g., get_article, list_industries), making them predictable and easy to understand.

Tool Count5/5

With exactly 5 tools, the set is well-scoped for the server's purpose of retrieving and searching article and industry content. No tool feels extraneous or missing.

Completeness5/5

The tool set covers all likely operations for a read-only content API: listing and getting both articles and industries, plus search. There are no obvious gaps for the stated domain.