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ejwhite7

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

generate_post

Generate social media posts for LinkedIn, Twitter, Instagram, Facebook, and Slack. Specify a topic, tone, and length to create posts tailored to your audience.

Instructions

Generate a social media post using AI

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspace_idYesWorkspace slug or UUID
platformYesTarget social platform
topicYesWhat the post should be about
toneNoprofessional
lengthNomedium
Behavior2/5

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

No annotations are present, so the description must disclose behavioral traits. It only states 'using AI' without detailing side effects (e.g., does it auto-publish?), authentication needs, or rate limits. Minimal disclosure.

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 a single sentence that is concise and front-loaded. It contains no fluff, but could be slightly expanded to provide more context without losing conciseness.

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?

With 5 parameters (3 required) and no output schema, the description is incomplete. It fails to explain return values (e.g., does it return the generated post text?), or any additional context like whether it drafts or publishes. Missing key information.

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 60% (workspace_id, platform, topic have descriptions; tone and length lack descriptions). The description adds no extra meaning beyond the schema. For parameters with enums, the schema already shows allowed values.

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 generates a social media post using AI, which is a specific verb+resource. However, it does not differentiate from sibling tools like create_draft or create_compose_prompt, so it misses the explicit distinction.

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?

The description provides no guidance on when to use this tool versus alternatives (e.g., suggest_hashtags, improve_content). No when-to-use or when-not-to-use conditions are mentioned.

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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