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

With no annotations, the description carries the full burden, and it delivers meaningful non-schema context: a metered cost of $0.001 USDC on Base via x402, plus the output field set. It still omits error/failure behavior and rate-limit or freshness guarantees, so it stops short of a 5.

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 core purpose, then inputs/outputs, then the pricing caveat. No filler or redundancy.

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 simple two-parameter read tool with no annotations or output schema, the description covers purpose, parameter intent, return fields, and cost. The main omissions are error behavior and how price staleness/as_of is guaranteed, which are admittedly secondary.

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 100% — both symbol and quote are documented in the schema itself. The description confirms the optional quote but adds no format or semantic detail beyond it, which is the expected baseline when the schema does the heavy lifting.

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 ('crypto spot price') and enumerates the returned fields (symbol, price, quote_currency, 24h change, as_of). It is clear what the tool does, though it does not explicitly differentiate itself from sibling crypto-price or crypto-24h-stats, which the agent must infer.

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 phrase 'for recurring trading-agent polling' implies a usage context, but no explicit when-to-use, when-not-to-use, or named alternative (e.g. why use this instead of crypto-price) is given. Usage is merely suggested.

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