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baburajr

elasticsearch-mcp

by baburajr

bulk_index

Index many documents into one Elasticsearch index in a single request to reduce indexing time and network overhead. Define an optional id field for document IDs; receive success count and first error details.

Instructions

Bulk index many documents into one index in a single request. Pass documents as a JSON array of objects; each becomes an index action. Optional id_field names a field to use as the document id. Reports how many succeeded and the first few errors. Much faster than index_document in a loop. Requires writes enabled and confirm=true.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
indexYes
confirmNo
refreshNo
id_fieldNo
documentsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

BT beyond annotations by exposing the confirm gate, reporting counts and 'first few errors,' and hinting mutating behavior ('write'). Scopes of atomicity partial failure are missing, but because annotations already mark readOnly=false no contradiction arises.

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 front-loaded with the main purpose, compact, and every sentence adds value. No fluff.

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?

core call path and constraints are present, and output schema handles return values. However, it leaves refresh and documents-string behavior under-specified. Otherwise a reasonable complete description for a 5-parameter writing tool.

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?

With 0% schema description coverage, the description compensates enough for documents array, id_field, and confirm, but does not cover refresh nor the schema's documents-as-string alternative. Therefore it partially adds meaning.

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 specific verb and resource: 'Bulk index many documents into one index in a single request.' It also distinguishes itself from index_document by pointing out 'Much faster than index_document in a loop,' so an agent can tell noisy apart.

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 provides clear context by statine that this is for bulk operations and explicit prerequisite 'Requires writes enabled and confirm=true.' However, it does not state exclusions such as when to prefer index_document for a single document.

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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