AWS OpenSearch MCP Server

get_ingest_pipelines

Retrieve all ingest pipeline definitions from an AWS OpenSearch domain visible to the current identity.

Instructions

Read all ingest pipeline definitions visible to the current AWS identity.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "profile": "<profile>",
      "region": "<region>",
      "domain": "<domain>"
    },
    "name": "get_ingest_pipelines"
  }
}

Input Schema

Name	Required	Description	Default
`domain`	Yes
`region`	Yes
`profile`	Yes

Output Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.1.0Jul 8, 2026

TDQS

C2.9/5.0

Behavior2/5

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

With no annotations provided, the description carries the full burden. It indicates a read operation (non-destructive) but fails to disclose other behavioral traits such as authentication requirements, rate limits, pagination, or the level of detail returned. This is insufficient for a tool with no annotation support.

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 a single, clear sentence with no wasted words. However, it may be too terse given the need to explain required parameters. It earns a 4 for lack of redundancy, but could be slightly more informative without losing conciseness.

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?

Given that an output schema exists, the description need not detail return values. However, it fails to provide any context for the three required parameters or the expected environment (e.g., AWS). The description is complete in stating the tool's core purpose but lacks the contextual richness needed for an agent to use it confidently.

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

Parameters1/5

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

Schema description coverage is 0%, and the tool description does not explain any of the three required parameters (profile, region, domain). The parameters remain completely opaque, leaving the agent without guidance on valid values or their role. The description adds no value beyond the schema's structure.

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 verb 'Read' and the resource 'ingest pipeline definitions,' with scope 'visible to the current AWS identity.' It distinguishes this tool from siblings like get_cluster_health or get_index_details, which operate on different resources.

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 when not to use it, prerequisites, or comparison to similar tools like list_indices or search_index. The description only states what it does, not when it should be chosen.

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