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kadenzo-mcp

kadenzo-mcp

by Kadenzo
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Remote

generate_content

Create social media captions for Instagram, TikTok, Snapchat, Facebook, or YouTube from a topic to streamline your scheduling workflow.

Instructions

Generate post copy for a platform from a topic — great for a "generate then schedule" flow. Returns a caption/post/description you can feed into schedule_post. Platform must be one of: instagram, tiktok, snapchat, facebook, youtube.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "topic": "<topic>",
      "platform": "<platform>"
    },
    "name": "generate_content"
  }
}

Input Schema

NameRequiredDescriptionDefault
goalNoAngle for the copy. Defaults to "story".
topicYesWhat the post is about (2-500 characters).
platformYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.3.2

TDQS

A4/5.0
Behavior3/5

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

With no annotations, the description carries full burden. It states the return format (caption/post/description) but does not disclose behavioral traits like idempotency, rate limits, or side effects beyond being 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 two sentences, front-loaded with key purpose and usage, with no extraneous information. Highly efficient.

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

Completeness4/5

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

Given no output schema, the description explains the return value and downstream use (schedule_post). Parameter info is partially covered; overall, the tool's purpose and workflow are well-documented.

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 67%. The description adds the allowed platform values (already in schema enum) and implies topic meaning, but does not elaborate on goal parameter beyond what schema says. Adds some value but not substantial.

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 the tool generates post copy for a specific platform from a topic, and explicitly mentions it fits a 'generate then schedule' flow, distinguishing it from sibling tools like schedule_post.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context (generate then schedule) and specifies that the output can be fed into schedule_post, but does not explicitly state when not to use it, though the sibling list implies alternatives.

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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