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Get an experiment

get_experiment
Read-onlyIdempotent

[read-only] One experiment: hypothesis, variants, compareKey, window and status. (Wraps GET /api/v2/experiments/{id}.)

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

Input Schema

NameRequiredDescriptionDefault
idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive, so the '[read-only]' prefix is redundant. However, the description adds genuine context the annotations do not cover: the underlying endpoint (GET /api/v2/experiments/{id}) and, more importantly, the shape of what is returned (hypothesis, variants, compareKey, window, status) for a tool with no output schema.

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?

Two short clauses, front-loaded with the resource and its contents, with the endpoint reference parenthetically at the end. No filler, though the bracket notation is terse to the point of under-explaining.

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 one-parameter getter this covers most of what is needed, and the returned-field list partially compensates for the absent output schema. It still leaves the id's provenance/format unaddressed and does not route the agent to related result/history tools.

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 single 'id' parameter is undocumented; the description only hints at it via the '{id}' path template. It never states what form the id takes (experiment id vs name) or where to obtain it.

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?

States a specific resource ('One experiment') and enumerates what it contains (hypothesis, variants, compareKey, window, status), which separates it from list_experiments and get_experiment_results. It does not name those siblings explicitly, so the differentiation is implied by singular/plural and 'results' rather than stated.

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?

There is no when-to-use guidance, no prerequisite (e.g. needing an experiment id from list_experiments), and no mention of the adjacent get_experiment_results or list_experiments alternatives. An agent must infer usage purely from the tool name.

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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