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CSOAI-ORG

Writing Assistant Ai MCP

build_outline

Create a structured content outline with sections, word allocations, and SEO keyword suggestions based on topic, depth, style, and target word count.

Instructions

Build a structured content outline with sections, word allocations, and SEO keyword suggestions.

Args: topic: The main topic to outline depth: Outline depth 1-4 (higher = more subsections) style: Content format (blog, essay, tutorial, landing_page, whitepaper) target_word_count: Target total word count

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYes
depthNo
styleNoblog
target_word_countNo
api_keyNo
Behavior2/5

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

No annotations provided, so description must bear full burden. It does not disclose behavioral traits like authentication needs (api_key param not explained), rate limits, or potential side effects. The description only outlines output without behavioral context.

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?

Description is relatively concise with the purpose upfront followed by parameter details in args. No redundant fluff, though the args section could be integrated more seamlessly.

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 5 parameters, no output schema, and no annotations, the description is incomplete. It lacks return format, behavioral notes, and documentation for api_key. Minimal adequacy but with significant gaps.

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?

Schema description coverage is 0%, so description should compensate. It explains topic, depth (1-4), style (blog/essay/etc.), and target_word_count in Args section. However, the api_key parameter is completely undocumented, leaving 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?

Description clearly states the verb 'Build' and resource 'structured content outline' with specific outputs: sections, word allocations, SEO keyword suggestions. It distinguishes effectively from sibling tools like analyze_tone or generate_headlines.

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 versus alternatives. No mention of prerequisites, when not to use, or comparison to siblings. Usage is only implied by the tool's purpose.

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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