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pmanciniq

limesurvey-mcp-server

by pmanciniq

import_survey

Import a survey from .lss, .csv, .txt, or .lsa files into LimeSurvey. Pass a file path or base64 content, with optional new survey ID and name.

Instructions

Import a survey from a .lss/.csv/.txt/.lsa file. Returns the new survey ID. Pass file_path with the local path to the .lss (recommended) OR sImportData in base64.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_pathNoLocal path to a file. If given, the server reads it and base64-encodes it automatically (alternative to passing the content directly).
sImportDataNoFile content in BASE64. Not needed if using `file_path`.
DestSurveyIDNoOptional. Desired ID (if in use, another is assigned).
sNewSurveyNameNoOptional. New name for the imported survey.
sImportDataTypeNoType: 'lss', 'csv', 'txt', or 'lsa'. Inferred from the extension if using `file_path`.
Behavior4/5

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

Annotations already indicate non-readonly and non-destructive behavior. The description adds the return value (new survey ID) and the file/ base64 handling, enhancing transparency without contradicting annotations.

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 two concise sentences, front-loaded with purpose, and contains no extraneous information.

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 tool with 5 parameters and no output schema, the description covers purpose, return, and parameter hints adequately. Minor gap: no mention of error conditions, but schema provides sufficient detail.

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

Parameters4/5

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

Although schema coverage is 100%, the description adds valuable guidance: file_path is recommended, server auto-encodes, and sImportDataType is inferred from extension. This clarifies the relationship between 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 'Import a survey from a .lss/.csv/.txt/.lsa file' with a specific verb and resource, and distinguishes it from sibling tools like copy_survey or add_survey by emphasizing file import.

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?

It explains the two parameter alternatives (file_path recommended vs sImportData) and implies usage context, but lacks explicit comparisons to siblings or when-not-to-use scenarios.

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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