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

Adds value beyond the annotations by bounding the blast radius ('changes only settings.voice.id'), which tells the agent the change is narrowly scoped despite destructiveHint=true. The validity constraint on the input is also behavioral context the annotations do not carry. No mention of what happens on an invalid voice ID or how errors are surfaced.

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?

Three short sentences, front-loaded with the action, then the input constraint, then the scope of the effect. No filler and every sentence adds information.

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?

An output schema exists, so return values need no explanation, and the scope clause covers the main behavioral risk. Still missing how to discover valid voice IDs, what happens if the ID is unknown, and any permission expectations for a mutating tool.

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 0%, so the description must carry parameter meaning. It explains voiceId (an identifier for a known Tutorial AI voice) but never mentions projectUid, leaving half the parameters documented only by name.

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 ('Set the project-wide narration voice') and pins the target to a single setting ('changes only settings.voice.id'). It is distinguishable from list_voices (read) by the mutating verb, though it never names the sibling that supplies valid IDs.

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?

'The voice must be a known Tutorial AI voice' implies the caller should first resolve IDs via list_voices, but this is left implicit. There is no explicit when-to-use/when-not-to-use or prerequisite statement.

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