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

Adds substantial context beyond the annotations: the exact price ($0.25 USDC on Base) and payment rail (x402, no key or account), and the critical fallback behavior that an unpaid call returns the price plus a sample at no cost. These are real operational facts an agent cannot infer from readOnlyHint/openWorldHint alone.

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 dense sentences that front-load the payment model before the capability and then the free-preview fallback. Nearly every sentence earns its place, though the payment and output enumeration make it slightly heavy for a single paragraph.

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, open-world synthesis tool with an output schema present, the description covers cost, payment mechanics, inputs expected, and a preview fallback. Nothing an agent needs to decide to call it or to understand the billing consequence is missing.

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 coverage is 100%, so the schema already documents question, context, and language including the enum and default. The description reinforces that a specific question is expected and shows one sample question, but adds little syntactic detail beyond the schema, so 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+resource — answering a targeted crypto question — and enumerates the live data tools it orchestrates (prices, funding rates, open interest, Fear & Greed, macro rates) plus the exact output shape (regime, confidence, scenarios, invalidation level). This clearly separates it from the raw-data siblings like get_market_quotes or get_derivatives.

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?

Gives clear context for use: ask a specific question and get a synthesized call rather than raw numbers, with an explicit no-cost preview path when payment is absent. It does not explicitly name an alternative (e.g. get_market_brief) or state when a raw-data sibling is preferable, so it stops short of full when/when-not routing.

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