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content_generate

Generate marketing copy for blogs, emails, social posts, landing pages, and ads. Specify content type, topic, tone, length, and SEO keywords to get tailored copy.

Instructions

Generate marketing content: blog posts, emails, social posts, landing page copy.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toneNoTone: professional, casual, persuasive
typeYesContent type: blog, email, social, landing, ad
topicYesTopic or subject
lengthNoLength: short, medium, long
keywordsNoSEO keywords (comma-separated)
Behavior2/5

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

No annotations are provided, so the description must carry the burden of behavioral disclosure. It only says 'Generate', giving no hint about AI generation limitations, output format, potential variability, whether calls are expensive/slow, or any side effects. This is a significant gap for a generative tool.

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, front-loaded sentence with no filler. Every word contributes to the purpose, and the list of content types is specific without being verbose. This is appropriately concise.

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?

The tool has 5 parameters, a clear schema, and no output schema. The description covers the core purpose but omits behavioral details, usage alternatives, and any sense of what the generated content looks like or how it is returned. For a relatively simple generation tool, it is minimally adequate but has clear gaps in context.

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 schema has 100% description coverage for all 5 parameters, so the baseline is 3. The description adds little beyond what the schema already conveys—it lists output categories but no additional detail about parameter usage or constraints. Thus the description provides no meaningful added value over the schema.

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's function ('Generate marketing content') and lists concrete content types (blog posts, emails, social posts, landing page copy), which helps distinguish it from sibling tools like content_rewrite. However, it does not explicitly name or contrast itself with these siblings, so it falls just short of a top score.

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 usage for generating various content types, and the examples give some context. However, it provides no explicit guidance on when to use this tool versus alternatives like content_rewrite or course_generate, nor does it mention any exclusions or prerequisites.

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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