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csvbox-io

csvbox-mcp-server

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by csvbox-io

Generate CSVBox Integration Code

generate_import_code

Generate complete CSVBox importer integration code for your chosen framework (vanilla-js, React, Vue 2/3, Angular). Specify the target framework to receive ready-to-use code with a license key placeholder.

Instructions

Generate complete CSVBox importer integration code for a framework (vanilla-js, react, vuejs2 [Vue 2], vuejs3 [Vue 3], angular [Angular 8-13], angular2 [Angular 14+]). Input: { framework }. Replace the license key placeholder with your sheet's license key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
frameworkYesTarget framework: vanilla-js | react | vuejs2 (Vue 2) | vuejs3 (Vue 3) | angular (Angular 8-13) | angular2 (Angular 14+).
Behavior2/5

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 mentions replacing the license key placeholder, which is a useful note, but it does not state whether the tool has side effects, what the output format is, or any prerequisites. The agent is left guessing about the return value and if any state changes occur. This is a notable gap for a tool that generates code.

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 a single, information-dense sentence. It front-loads the main action, immediately lists the supported frameworks with version clarifications, and includes the only crucial auxiliary instruction (replacing the license key placeholder). There is zero redundancy.

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?

For a one-parameter tool with no output schema, the description covers the essential information: what it does, the input, and a critical post-processing step. While it doesn't explicitly describe the return format, the term 'integration code' makes it obvious. Minor omission: it doesn't state whether the code is returned as a string, file, or other, but this is not critical for invoking the tool correctly.

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 description coverage is 100%, so the parameter `framework` is already fully documented via enum and description. The tool description merely repeats 'Input: { framework }' without adding new parameter-specific details. The license key placeholder note concerns the output, not the input, so it doesn't enhance parameter understanding. Baseline 3 is appropriate.

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 states a clear action ('generate complete CSVBox importer integration code'), a specific resource (CSVBox importer integration), and the parameter (framework). It lists all supported values, distinguishing it from sibling tools like generate_sheet_json or create_sheet. It is unambiguous.

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 is self-contained and clearly implies when to use it: whenever you need integration code for a listed framework. It does not explicitly mention alternatives or exclusions, but the context is clear enough that an agent can infer appropriate usage without confusion.

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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