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pmanciniq

limesurvey-mcp-server

by pmanciniq

get_fieldmap

Read-only

Retrieve the fieldmap of a survey to view its structure, fields, and question types, with an optional language parameter.

Instructions

Get the fieldmap of a survey.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
languageNoOptional. Language (default: the survey's).
surveyIdYesSurvey ID.
Behavior3/5

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

The description aligns with the readOnlyHint and destructiveHint annotations by indicating a read operation ('Get'). It does not contradict annotations, but it also adds no additional behavioral context beyond what the structured data already conveys. With annotations covering safety traits, a score of 3 is appropriate.

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 sentence with no wasted words. It is appropriately sized for the tool's simplicity and is front-loaded with the key action and resource.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has no output schema, so the description should clarify what the fieldmap contains or its structure. It does not, leaving a significant gap. The context signals (e.g., openWorldHint) suggest variability, but without elaboration, the description is incomplete for an AI agent to understand the return value.

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 parameters are already well-documented in the schema. The description ('Get the fieldmap of a survey') adds no extra meaning beyond confirming the purpose. The baseline of 3 is justified.

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?

The description clearly states the action (Get) and the resource (fieldmap of a survey). However, it does not explain what a fieldmap is, leaving some ambiguity. It is distinguishable from siblings like get_survey_properties or get_summary by using the term 'fieldmap', but lacks specificity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives. There is no mention of prerequisites, context, or exclusions, making it difficult for an AI agent to select it over similar tools like get_survey_properties or get_summary.

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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