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

Annotations already cover safety (readOnly, idempotent), but the description adds substantial context they cannot: the 0.005 USDC x402 payment model, that invalid input is refused before payment, that failed runs are never charged, and that a PaymentRequired response is returned without payment. It also names the underlying data sources (Helius, Jupiter), which matters for trusting the risk score.

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?

Dense but front-loaded: the capability list comes first, followed by return value, pricing, and fallback channels. The pricing/payment sentences are long and would benefit from trimming, but each carries operational information an agent needs before calling.

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?

There is no output schema, yet the description explains the return shape ('0-100 risk score with every red flag explained') and the failure mode (PaymentRequired). For a single-parameter read tool, nothing an agent needs in order to call it correctly is left out.

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?

Only one parameter and schema coverage is 100%, so the schema already fully documents 'mint'. The description implies the argument via the example HTTP URL but adds no format nuances (e.g., base58 validation, wrapped vs native mints). Baseline 3 is appropriate when the schema does the work.

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 ('Safety check of any Solana token') and enumerates exactly what is inspected: authorities, holder concentration, liquidity, organic volume. This clearly separates it from siblings like solana_portfolio or solana_tx_explain, which serve different token-adjacent questions.

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 a concrete usage trigger ('before an agent buys it') and routes agents to get_example for a free sample answer. It does not explicitly exclude or compare against siblings such as crypto_price, which overlaps on price data, but the pre-purchase safety framing provides clear context.

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