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airstrings_variant_status

Read-onlyIdempotent

Read an A/B experiment for one string key in the active environment: status, allocation, and variant values. Use it before updating variants or to check state before start, stop, or promote.

Instructions

Read the A/B experiment for one string key in the active environment: status (draft, running or stopped), allocation and each variant's values. Returns an error if the key has no experiment. Use it before airstrings_variant_set to keep existing variants, or to check state before start, stop or promote.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyYesThe string key whose experiment to read, e.g. 'onboarding.welcome'.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.22.4
    • changedInput schema / properties / key / description
      Previous value: -"The string key whose experiment to read."New value: +"The string key whose experiment to read, e.g. 'onboarding.welcome'."
  2. First observedv0.1.0

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint, so the safety profile is covered. The description adds useful context beyond annotations: it describes the error condition when no experiment exists and enumerates the return fields, though it does not mention auth or rate limits.

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?

Two sentences, front-loaded with the core action and scope, followed by usage guidance. Every sentence earns its place with no redundancy.

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

Completeness5/5

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

For a simple read tool with one parameter, rich annotations, and no output schema, the description covers purpose, usage context, error behavior, and the shape of returned data. An agent has everything needed to call it correctly.

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?

Schema description coverage is 100%, so the single 'key' parameter is fully documented in the schema. The description only restates the key scope ('one string key'), adding no syntax or format detail beyond the schema. Baseline 3 is appropriate.

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?

States a specific verb (Read) and resource (the A/B experiment for one string key in the active environment), and enumerates the returned fields (status, allocation, variant values). This clearly distinguishes it from sibling tools like airstrings_status and airstrings_variant_set.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly names when to use it (before airstrings_variant_set to keep existing variants, or before start/stop/promote to check state) and names the relevant alternative tools. Nothing is left to inference.

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