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

Annotations are all default false values, so the description carries the full behavioral burden — and it delivers: it discloses the invalidation of the old quote, states that payment is not taken by the tool, and establishes that funding is not generation approval. The disclosed invalidation creates a mild tension with destructiveHint: false, but the side effect is openly declared so the agent is fully informed and no contradiction is flagged.

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-loaded purpose followed by dense, safety-critical guidance; roughly 130 words with every sentence carrying operational weight. Slightly long for a one-parameter tool, but the workflow and prohibition content justifies the length.

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?

Comprehensively covers the trigger, side effects, non-actions, follow-up workflow, and the explicit approval gate for a tool with one parameter and no output schema. The main gap is the response shape — it references 'the exact returned destination' but never describes what the tool returns beyond a destination.

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% and the description never names quoteId explicitly, though the 'exact prepared quote' framing makes the parameter's referent inferable as the quote that needs credits. For a single required parameter this is adequate compensation, but it relies on inference rather than an explicit mapping.

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 — creates a short-lived MaxVideoAI web handoff and invalidates the old quote — prefixed with the trigger condition 'when an exact prepared quote needs more credits.' This clearly differentiates it from siblings such as create_reference_upload_link and prepare_generation, whose purposes are not payment top-up handoffs.

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?

Opens with an explicit 'Use this when' trigger and later names the required follow-up sequence (get_account_status, then a fresh prepare_generation or prepare_audio_generation for Audio). It also gives explicit exclusions and prohibitions: never collect payment data, never claim the browser step completed, and never auto-retry or generate.

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