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batch_scan

Scan up to 10 Solana tokens in a single call for portfolio-level risk assessment. Runs full 10-layer analysis on each mint, returning safety scores, verdicts, and market flags.

Instructions

Scan multiple Solana tokens in a single call for portfolio-level risk assessment. Runs the full 10-layer analysis (same as full_token_scan) on each mint in parallel. Returns a JSON object with scanned count and a results array, each containing mint, safe (boolean), finalScore (0-100), verdict, honeypot status, LP lock status, token age, liquidity, marketFlags, and walletAge. Max 10 tokens per batch. This is a read-only operation with no on-chain side effects. Use this when evaluating a portfolio, watchlist, or multiple tokens from a pool discovery. Do not use this for a single token — use full_token_scan or check_token_safety instead, as they return more detailed results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
mintsYesArray of Solana token mint addresses to scan (max 10)
Behavior5/5

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

Discloses key behaviors: read-only, no on-chain side effects, parallel execution, max 10 tokens, and lists return fields. With no annotations provided, the description fully compensates.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Concise two-sentence structure with no wasted words. Front-loaded with core purpose, then details efficiently. Every sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter tool, the description covers purpose, usage, behavior, return fields, and differentiates from 10 siblings. No output schema, but return fields are described. Complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and describes the parameter. The description adds value by explaining the return structure and reinforcing the batch intent, going beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states it scans multiple Solana tokens for portfolio-level risk assessment, runs full 10-layer analysis in parallel, and returns specific fields. Explicitly distinguishes from siblings by stating use case and naming alternatives for single token scans.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit when-to-use (portfolio, watchlist, multiple tokens) and when-not-to (single token) with named alternatives (full_token_scan, check_token_safety). This leaves no ambiguity.

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

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