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ejwhite7

@b2b-saas-inc/olli-mcp-server

campaign_generate

Generate AI-powered campaign content including posts and messaging for social media platforms like LinkedIn, Twitter, Instagram, Facebook, and Slack.

Instructions

Generate campaign content (posts, messaging) using AI

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspace_idYesWorkspace slug or UUID
campaign_idYesCampaign UUID
platformNo
countNoNumber of posts to generate
Behavior2/5

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

No annotations are provided, and the description only mentions AI generation. It does not disclose behavioral traits such as whether it creates drafts, modifies the campaign, or has rate limits, which is critical 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 concise sentence that is front-loaded with the core purpose. 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 complexity of generating campaign content, the description is too sparse. It omits expected return values, error handling, prerequisites (e.g., campaign must exist), and behavior when platform is not specified.

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 coverage is 75%, and the description adds no extra meaning beyond what the schema already provides (e.g., workspace_id, campaign_id). The platform parameter lacks description despite having an enum.

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 it generates campaign content (posts, messaging) using AI, specifying the resource (campaign content) and action (generate). However, it does not distinguish from sibling tools like generate_post or create_draft, which could lead to confusion.

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 (e.g., generate_post for single posts, improve_content for editing). There are no usage conditionals or context cues.

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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