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RecurPost MCP Server

by dinwal
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
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generate_image_with_ai

Create custom images for social media content using AI by providing a text description. This tool helps users generate visual assets to enhance their posts and engagement.

Instructions

Generate an image from a text description using RecurPost AI

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": {
      "prompt_text": "<prompt_text>"
    },
    "name": "generate_image_with_ai"
  }
}

Input Schema

NameRequiredDescriptionDefault
prompt_textYesDetailed description of the image to generate

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations provided, so description carries full disclosure burden. Missing critical behavioral details: output format (URL, base64, file ID?), synchronous vs async behavior, API limits, content policy restrictions, and whether results persist in the RecurPost ecosystem.

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?

Single sentence, front-loaded with action verb, no redundant words. Efficiently communicates core purpose, though minimalism contributes to lack of necessary behavioral context.

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?

For an image generation tool with no output schema and no annotations, the description should disclose return behavior, side effects, and storage implications. Currently insufficient for an agent to predict outcomes, handle errors, or integrate the result into subsequent workflow steps.

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 100% with prompt_text adequately described. Description mentions 'text description' which aligns with the parameter, but adds no additional syntax constraints, prompt engineering guidance, or formatting examples beyond what the schema provides. Baseline 3 appropriate.

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?

Clearly states the verb (Generate), resource (image), and method (using RecurPost AI). Implicitly distinguishes from sibling generate_content_with_ai by specifying 'image' versus generic 'content', though lacks explicit scope constraints or differentiating guidance.

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 provided on when to use this tool versus generate_content_with_ai, prerequisites for image generation, or how to handle results. Fails to mention if generated images are automatically stored in the library or require separate ingestion.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Deploy Server

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