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

With no annotations, the description carries the full burden. It usefully discloses the pay-per-call cost ($0.005 USDC) and the default interval (1h), which are real behavioral facts. However, it says nothing about payment mechanics, error behavior, rate limits, or return shape, leaving meaningful gaps for a paid endpoint.

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?

Two tight sentences that front-load the indicator set, followed by the interval default, endpoint path, and price. Nothing is padded, though the raw endpoint path is of marginal value to an agent.

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 2-parameter read tool with no output schema, listing the computed indicators does convey the return content. But with no annotations and a paid flow involving a should_pay sibling, the description omits how payment/auth is handled and how failures surface.

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% and both parameters are documented in the schema, so the baseline is 3. The description restates the optional interval default (1h) but adds no syntax or semantics beyond what the schema already provides.

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 names a specific resource (technical indicators for a crypto coin) and enumerates the exact outputs (RSI(14), EMA(20), EMA(50), SMA(20/50/200)), so an agent can tell this apart from crypto_ohlcv or crypto_price by content. It stops short of naming a sibling explicitly, so it is clear but not fully differentiated.

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?

There is no statement of when to use this versus the many sibling tools (crypto_ohlcv for raw candles, crypto_price for spot price), nor any exclusions or prerequisites. Usage is only implied by the described outputs.

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