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GrowthBook MCP Server

GrowthBook MCP Server

Official
by growthbook
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

get_experiment

Retrieve a specific experiment by its ID from the GrowthBook MCP Server to access detailed information and insights.

Instructions

Gets a single experiment from GrowthBook

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": {
      "experimentId": "<experimentId>"
    },
    "name": "get_experiment"
  }
}

Input Schema

NameRequiredDescriptionDefault
experimentIdYesThe ID of the experiment to get

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

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 of behavioral disclosure. It states this is a read operation ('Gets'), implying it's non-destructive, but doesn't specify permissions required, rate limits, error conditions, or what data is returned. For a tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

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 directly states the tool's purpose without unnecessary words. It's front-loaded with the core action and resource, making it easy to parse quickly. Every word earns its place.

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?

Given the lack of annotations and output schema, the description is incomplete for a data retrieval tool. It doesn't explain what an 'experiment' entails in GrowthBook, what fields are returned, or how to interpret results. For a tool that presumably returns structured data, more context is needed to use it effectively.

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?

The input schema has 100% description coverage, with the single parameter 'experimentId' clearly documented. The description doesn't add any additional semantic context beyond what the schema provides, such as format examples or where to find experiment IDs. With high schema coverage, the baseline score of 3 is appropriate.

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 verb ('Gets') and resource ('a single experiment from GrowthBook'), making the purpose unambiguous. However, it doesn't distinguish this tool from its sibling 'get_experiments' (plural), which appears to retrieve multiple experiments, leaving some ambiguity about when to use each.

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. It doesn't mention the sibling 'get_experiments' for retrieving multiple experiments or clarify if this is for detailed views versus list views. No prerequisites or context for usage are provided.

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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