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CSOAI-ORG

Writing Assistant Ai MCP

generate_headlines

Generate headline variations for any topic with SEO length checks and power word analysis. Choose from styles like listicle, how-to, or question, tailored to your audience.

Instructions

Generate headline variations for a given topic. Returns multiple options with SEO length checks and power word analysis.

Args: topic: The subject/topic for headlines style: Headline style (listicle, how_to, question, power, seo) count: Number of headlines to generate (max 15) target_audience: Who the content is for

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYes
styleNopower
countNo
target_audienceNoprofessionals
api_keyNo
Behavior3/5

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

No annotations are provided, so the description carries the burden. It discloses that it returns multiple options with checks, but omits the api_key parameter entirely and does not mention any side effects or authentication requirements. The description is partially transparent but incomplete.

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?

The description is concise with a clear summary and a structured Args list. It is front-loaded but omits the api_key parameter, which detracts slightly from completeness. Overall efficient.

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

Completeness3/5

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

Given 5 parameters and no output schema, the description explains the tool's purpose and most parameters but fails to mention the api_key or describe the return format in detail. It is moderately complete but has noticeable gaps.

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

Parameters4/5

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

The schema has 0% description coverage, so the description must add meaning. The Args section provides useful semantics for 4 of 5 parameters (topic, style, count, target_audience), including constraints like 'max 15' for count and style options. However, the api_key parameter is completely absent from the description, which is a gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Generate headline variations for a given topic' with additional details on SEO length checks and power word analysis. It uses a specific verb and resource, distinguishing it from sibling tools like analyze_tone or build_outline.

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 explicit guidance on when to use this tool vs alternatives. The description only states what it does, without mentioning context, prerequisites, or when not to use it.

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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