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

With no annotations, the description carries the full burden and does disclose two important behavioral traits: it is a paid tool ($0.008 USDC on Base via x402) and it is intended for frequent polling (~30s cadence), which implies cost accumulation. It stops short of covering error behavior, payment failure handling, or rate limits beyond the cadence hint.

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, each front-loaded with the most decision-relevant information (what it returns, how often to call, what it costs). 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?

No output schema exists, but the description enumerates the returned data categories, which largely substitutes for it. No annotations, so gaps remain around parameter meaning and payment/auth mechanics, but for a paid aggregate read tool this is close to complete.

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% across 4 params, so the description must compensate. It implies that recent trades and OHLCV candles are returned, which loosely maps to trade_limit, candle_limit, and candle_granularity, but it never explains product_id format/semantics or what the limits control. Partial compensation only.

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 ('realtime crypto market snapshot') and enumerates exactly what it bundles: price, bid/ask, 24h stats, top-of-book, recent trades, and OHLCV candles. This enumeration is what distinguishes it from single-purpose siblings like crypto-price, crypto-24h-stats, crypto-candles, and crypto-top-of-book.

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 real usage context ('designed for repeated market polling; refresh about every 30 seconds'), which is more than most. However, it never addresses the key routing decision: when to use this aggregate snapshot versus the individual crypto-price / crypto-candles / crypto-top-of-book siblings, and no when-not-to-use guidance is given.

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