Skip to main content
Glama
bpamiri

elasticsearch-mcp

by bpamiri

get_document

Fetch a document from an Elasticsearch index by its ID. Returns the document source or a not found error.

Instructions

Get a document by ID.

Args: index: Index containing the document. doc_id: Document ID.

Returns: Document source data or not found error.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
indexYes
doc_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description only mentions returning document source or not found error. It does not disclose any behavioral traits such as read-only nature, permissions, or side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with two sentences and clear parameter/return sections. However, it could be more structured with explicit headings.

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

Completeness3/5

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

For a simple get-by-ID tool with an output schema, the description is adequate but lacks details like ID format, index requirements, or error handling nuances. It is minimally complete.

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

Parameters2/5

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

Schema description coverage is 0%, and the description merely repeats parameter names ('index', 'doc_id') with trivial explanations. It adds minimal meaning beyond the parameter names.

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 the tool gets a document by ID, specifying the resource (document) and action (get). It distinguishes from sibling tools like es_search and count_docs.

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 on when to use this tool versus alternatives. It lacks context on scenarios where this tool is preferred over search index tools or other get operations.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/bpamiri/elasticsearch-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server