set_scalability_quality

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

Annotations already declare destructiveHint=true and idempotentHint=true, so the safety profile is covered. The description adds real value beyond that by disclosing that the mutation starts from the current live state (unspecified categories are preserved) and by naming the apply path (SetQualityLevels + ApplyCachedQualityLevels). It does not discuss persistence across restarts, but this is a meaningful addition.

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?

Front-loads the action, then the mechanism, then the return shape. The inline Returns block is somewhat verbose but earns its place given there is no output schema, and no sentence is wasted.

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 supplies the full return payload, so an agent knows exactly what it gets back. Both parameters are covered by the schema, the mutation semantics are stated, and the safety profile comes from annotations. Nothing essential is missing for correct invocation.

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%, so both the level range/enum names and the category list are already fully documented in the schema. The description adds no syntax or format detail beyond it, 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 and resource (sets engine scalability quality) and clarifies it also reads back the result, which cleanly separates it from the get_scalability_levels sibling. It does not name the sibling explicitly, but the mutation intent is unambiguous.

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?

Usage is implied by the description (change scalability quality, then confirm via read-back), but there is no explicit when-to-use/when-not guidance nor any named alternative such as get_scalability_levels or set_cvar. An agent can infer intent but is given no routing rules.

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