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

Beyond the annotations, the description discloses that every call is paid in USDC, constrained by budget caps, and that results are third-party data rather than instructions. It also lists per-product costs and upstream data sources, which is unusually strong behavioral context.

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 description is front-loaded with purpose and payment context, then uses a compact product list. Every sentence carries operational information with no filler.

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 paid nested-parameter tool with no output schema, the description covers payment, budget scope, product selection, and required sub-parameters well. It does not describe return structure in detail, though it does identify the data source for each product.

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?

Although the schema has full description coverage, its params object is generic. The description supplies the product-specific parameter names (symbol* for market.quote, symbols for market.quotes), their requiredness, and associated costs, adding meaning the 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 description states a specific resource (crypto asset price quotes) and distinguishes its two product modes by symbol count and data source. It does not explicitly differentiate itself from sibling tools such as get_price_quote or call_product, so it falls short of a 5.

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?

It gives clear selection guidance: market.quote for a single latest trade tick versus market.quotes for a bundle of cached live quotes. It does not say when not to use the tool or name external alternatives.

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