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

Annotations only declare the generic profile (not read-only, not idempotent, not destructive), so the description adds meaningful value: new target phrases are written into the vocabulary and a non-vocabulary string is an error, plus the free-plan restriction. These are real side-effect and failure-mode disclosures beyond the annotation set, though the return/start behavior itself is not described.

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?

The content is dense and almost every clause conveys needed information, but it is delivered as a single rambling paragraph with semicolon-chained field notes, not front-loaded into scannable lines. An agent must parse the wall of text to find per-parameter rules.

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?

For a 6-parameter tool with no schema descriptions and no output schema, the description covers parameters, side effects, error conditions, and plan constraints well. It is slightly incomplete on what starting actually returns (session/widget handle) and never states the required follow-up flow with dialogue_turn/dialogue_end.

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?

With 0% schema description coverage, the description carries the full burden and largely succeeds: topic semantics, brief content and its 2000-char limit, targets count (up to 10) and the exact string-or-{"term","meaning"} format with vocabulary-error rule, expectations and its 500-char limit, hints values (end/live) with behavior, and scene-vs-topic interplay. Each of the 6 parameters gains meaning the bare schema does not provide.

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?

The opening clause 'Start a voice conversation in the widget from a task' gives a specific verb (start) and resource (voice dialogue widget), which clearly distinguishes it from siblings like dialogue_turn, dialogue_end, or dialogue_state. It stops short of naming those siblings or explicitly stating when to pick this one over them, so it lands at a strong-but-not-perfect 4.

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 description embeds real conditional guidance: an empty topic means the director picks one, and on the free plan an own topic/brief is unavailable so only scenes may be used (with the list surfaced in the error). It never names an alternative tool, but the plan-gating and scene-vs-topic rules give the agent clear context for correct invocation.

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