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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds the useful detail of what the read returns (arm counts, decision state), but says nothing about the superadmin-only customerId escalation path, pagination, or freshness of the status. Modest value beyond annotations.

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

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

A single front-loaded sentence with zero filler. Every clause (status, arm counts, decision state) earns its place by telling the agent what comes back.

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

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

With no output schema, the description correctly compensates by naming the returned fields, and annotations cover the safety profile. It is nearly complete for a simple read; only the elevated-permission path and any staleness/pagination behavior are unaddressed.

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

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

Schema description coverage is 100%, and the schema itself documents both productionTestId and the Converra-superadmin-only customerId. The description adds no parameter semantics of its own, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Get) and a specific resource (production A/B test), and enumerates what it surfaces: status, arm counts, decision state. It is clearly distinguishable from mutation siblings like start_production_test or promote_production_test, but it does not differentiate itself from read siblings such as get_variant_details or get_gate_result.

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

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

No when-to-use guidance and no alternatives named. An agent must infer that this is the status-read for a production test rather than a simulated or benchmark test (simulate_ab_test, start_model_test, get_benchmark_status all exist as siblings). No prerequisites or exclusions are stated.

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