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polytechub-code

Kraviona MCP Server

Generate AI draft

generate_ai_draft

Create an SEO draft by providing a topic and category. The AI generates a complete draft for you to review and finalize.

Instructions

Ask the configured Anthropic model to create a complete SEO draft for human review.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYes
categoryYes
Behavior2/5

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

With no annotations, the description must fully disclose behavior. It states it asks the configured Anthropic model but does not clarify whether the draft is saved, returned, or if it is a read-only or mutative operation. This leaves significant behavioral ambiguity.

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 sentence of 14 words, front-loading the key action and resource. Every word is necessary, and there is no extraneous information.

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 lack of an output schema and annotations, the description should cover return value and side effects. It only hints at the output being a draft for review but does not specify format or next steps, making it insufficient for complete understanding.

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

Parameters1/5

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

The input schema has 0% description coverage, and the description adds no explanation of the 'topic' or 'category' parameters beyond their names. Since the names are self-explanatory, the description fails to add any additional meaning or constraints.

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 creates a 'complete SEO draft' using the configured Anthropic model, which specifies the verb and resource. It distinguishes from sibling tools which are mostly CRUD operations on categories, services, or settings, though it does not explicitly differentiate.

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

Usage Guidelines3/5

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

The description implies the tool is for generating a draft for human review, suggesting a non-final output. However, it provides no explicit guidance on when to use this tool versus alternatives, nor any prerequisites or exclusions.

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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