インフォグラフィック編集 Pro
infographic-text-editorClaude Vision が画像の文字を読み取り → クリックで書換 → AI で自然消去 → PowerPoint 編集可能 PPTX 出力 (Browser-based tool)
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
infographic-text-editorClaude Vision が画像の文字を読み取り → クリックで書換 → AI で自然消去 → PowerPoint 編集可能 PPTX 出力 (Browser-based tool)
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden. It discloses the workflow (read, rewrite, erase, output PPTX) and notes it is browser-based, but does not mention limitations, side effects, or any destructive aspects. The AI erasure behavior is mentioned, but other behavioral traits remain opaque.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, compact sentence using an arrow-based workflow that is immediately clear and front-loaded. It adds the useful context 'Browser-based tool' without unnecessary fluff, earning every word.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the absence of parameters, annotations, and output schema, the description covers the core workflow and output format sufficiently. It could mention the exact input format (e.g., image file type) or constraints, but for a no-parameter tool, it provides adequate context for an agent to understand the tool's purpose and output.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so the baseline is 4. The description adds no parameter-specific details because none exist, and the schema is trivially complete. There is nothing to document, so the default score applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool reads text from images via Claude Vision, allows click-to-rewrite, performs AI-based erasure, and outputs a PowerPoint-editable PPTX file. This specific workflow distinguishes it from sibling tools like 'text-overlay-maker' or 'pdf-to-powerpoint'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for editing existing text in images and exporting to PPTX, but does not explicitly state when to use this tool over alternatives, nor does it mention any prerequisites or exclusions. The guidance is implicit rather than explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Multiple tools have overlapping purposes, such as bg-remover, bg-remover-pro, pro-matting, and takumi all performing background removal, and upscaler/upscaler-pro being redundant. With 202 tools, an agent may easily select the wrong one despite detailed descriptions.
Most tools use a consistent kebab-case format with descriptive names like pdf-compress, image-resizer, and tax-return-calc. Exceptions like 'takumi', 'pro-matting', and '-pro' suffixes (bg-remover-pro, upscaler-pro) are minor deviations relative to the total.
202 tools is an extreme mismatch for an MCP server, far exceeding the typical 3-15 well-scoped range. The sheer volume makes it unwieldy for an agent to efficiently navigate and select the right tool.
The tool set provides extensive coverage across many domains, including PDF operations (20+ tools), image editing, financial calculations, e-commerce fee estimation, and YouTube utilities. Minor gaps exist in cross-tool integration, but the breadth is highly comprehensive for the apparent purpose.