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Elasticsearch MCP Server

Official
by elastic

get_mappings

Retrieve field mappings for a specified Elasticsearch index to understand its structure and data organization within the Elasticsearch MCP Server.

Instructions

Get field mappings for a specific Elasticsearch index

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
indexYesName of the Elasticsearch index to get mappings for
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states what the tool does but doesn't describe how it behaves: no information about permissions required, rate limits, error conditions, response format, or whether it's a read-only operation. The description is minimal and lacks behavioral context.

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, efficient sentence that states the core purpose without unnecessary words. It's appropriately sized for a simple tool with one parameter and is front-loaded with essential information.

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?

For a tool with no annotations and no output schema, the description is insufficient. It doesn't explain what 'field mappings' means in practice, what format the response will be in, or any behavioral characteristics. Given the lack of structured data, the description should provide more context about what users can expect from this operation.

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% with the single parameter 'index' well-documented in the schema. The description adds no additional parameter semantics beyond what's already in the schema, so it meets the baseline for high schema coverage without adding value.

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 resource ('field mappings for a specific Elasticsearch index'), making the purpose immediately understandable. It doesn't explicitly distinguish from sibling tools like 'list_indices' or 'search', but the specificity of 'field mappings' provides some implicit differentiation.

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?

The description provides no guidance on when to use this tool versus alternatives like 'list_indices' or 'search'. It mentions 'specific Elasticsearch index' which implies context but doesn't specify prerequisites, constraints, or typical use cases for retrieving mappings.

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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