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

Annotations already declare readOnly/idempotent/openWorld, and the description goes well beyond them: it names the live data sources (on-chain contract state, largest accounts, DexScreener), the curve-liquidity semantics and the `curve` field, the merged pump.fun forensics, the $0.005/call cost with 10 free/day and x402 payment-required results, and the error contract (isError on invalid input or upstream failure, not charged). That is exactly the beyond-annotations context an agent needs.

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?

The core purpose, data sources, usage rule, pricing and error behavior are all front-loaded and every sentence carries distinct information. It is dense rather than bloated, though the long em-dash inventory of risk dimensions and the parenthetical data-source list could be trimmed slightly without loss.

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 read-only scoring tool with a full output schema (so return values need not be re-explained), the description covers what is scored, where the data comes from, how bonding-curve liquidity is interpreted, sibling routing, cost, and error semantics. Nothing an agent needs to call it correctly 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?

There is a single parameter and schema description coverage is 100%, so the schema already fully documents `mint` including its Base58 pattern. The description adds no per-parameter syntax or format detail beyond that, so the 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?

The opening clause states exactly what the tool returns ('0-100 rug-risk score') and the resource scope ('any Solana token'), then enumerates the concrete risk dimensions (mint/freeze authority, Token-2022 traps, holder concentration, liquidity depth, pump.fun curve flags). It explicitly distinguishes itself from pump_token and evm_token_security by name, so an agent can route without opening any schema.

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 'When to use' sentence gives an explicit inclusion rule ('For any Solana token, pump.fun or not') plus two named alternatives with their selecting conditions (pump_token for curve-stage detail, evm_token_security for EVM tokens). Nothing about tool selection is left to inference.

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