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LouisChanCLY

napkin-ai-mcp

by LouisChanCLY

Download Visual

download_visual

Download a generated visual as base64-encoded data using the file URL from check_status. Enables saving infographics, diagrams, and charts for offline use.

Instructions

Download a generated visual file as base64-encoded data. Use the URL from check_status response's generated_files array.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_urlYesFile URL from check_status generated_files

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
size_bytesYesFile size in bytes
content_base64YesBase64-encoded file content
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It discloses that output is base64-encoded data and that the input URL comes from check_status. However, it does not mention authentication requirements, potential failure modes (e.g., invalid URL), or any side effects. This is adequate for a simple download tool but lacks depth.

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 highly concise and well-structured: two sentences that front-load the action and output format, followed by a precise instruction on where to obtain the input. Every sentence earns its place, with no redundant or unnecessary detail.

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 the tool's simplicity (one required parameter, output schema present), the description is almost complete. It covers the workflow (use check_status URL) and the output format (base64). A note about authentication or error handling would complete it, but the existing description is sufficient for most use cases.

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?

The schema documentation already provides 100% coverage for the file_url parameter, including its format and source ('File URL from check_status generated_files'). The description's mention of the URL from check_status does not add information beyond what the schema already states, so it meets the baseline for schema-covered parameters.

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's purpose: 'Download a generated visual file as base64-encoded data.' It uses a specific verb (download), identifies the resource (generated visual file), and specifies the output format (base64). This distinguishes it from siblings like generate_visual and check_status by focusing on the download step.

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 usage context: 'Use the URL from check_status response's generated_files array.' This tells the agent the prerequisite and source of the input parameter. However, it does not explicitly mention alternatives or when not to use this tool, such as generate_and_save, which might be a direct alternative.

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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