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Render a concept into a meme image

render_meme

Render a generated concept into an original vector meme (SVG and optional PNG), moderate all text before rendering, and return the meme ID, file paths, and inline PNG preview.

Instructions

Renders a generated concept into an original vector meme (SVG, plus PNG when sharp is available). Every text is moderated again before rendering. Returns the meme id, file paths, and an inline PNG preview.

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": {
      "conceptId": "<conceptId>"
    },
    "name": "render_meme"
  }
}

Input Schema

NameRequiredDescriptionDefault
titleNo
conceptIdYes
templateIdNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses the secondary moderation pass on all text, the conditional PNG availability ('when sharp is available'), and the returned payload. It omits whether the meme is persisted, idempotency, and any cost/permission implications.

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?

Three short sentences, each carrying distinct information: output format, moderation behavior, return values. Front-loaded with the action and zero filler.

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?

No output schema and no annotations means the description is the only documentation, and it reasonably covers outputs and the moderation trait. It leaves the optional parameters (title, templateId) undocumented and doesn't clarify the relationship to generate_meme, which leaves gaps for a 3-parameter tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% across 3 parameters, so the description must compensate. It only hints at conceptId via 'a generated concept' and says nothing about the optional title or templateId parameters or their effect on the render.

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?

States a specific verb (renders) and resource (a generated concept -> an original vector meme), and the parenthetical lists concrete output formats. It implicitly distinguishes itself from generate_meme by acting on an already-generated concept rather than producing one, though it never names that sibling explicitly.

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 phrase 'a generated concept' implies this is a downstream step after concept generation, which is useful sequencing context. However, there is no explicit when-to-use/when-not-to-use guidance and no named alternative among the many meme siblings.

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