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bsc_pool_scan

Read-only

The full honeypot / rug-pull / liquidity read behind the preflight. Measure what a trade on BNB Smart Chain would actually cost, for ANY token or pool — before placing it. Reads the pool live from the chain and returns: real cost per trade size (price impact + swap fee + transfer tax together, not the headline slippage a router shows), the USD size that moves the price 1% in each direction, the transfer tax MEASURED from executed trades rather than taken from a label, how much of the token's liquidity the readable pool actually holds, and whether the LP is burned or still withdrawable — plus our own sell simulation on the router from a fresh address (sellability). A token still raising on four.meme with no pool yet is measured from four.meme's own contract instead (curve: raise progress, price, buy/sell cost per size, fee). Works on PancakeSwap V2/V3, Uniswap V2 and Biswap. Read tax.measured and tax.source before using the cost columns: a tax that could not be measured comes back null with a warning, never as 0%; quotable: false with a reason is an answer, not an error. Also returned: deeperPoolElsewhere (a bigger pool for the same token than the one read), tax.simulated (an independent cross-check next to the measured tax), lp.custody (who holds the LP of a V2 pair, wallet by wallet, the deployer flagged; complete from the pair's own logs when it is under an hour old; V3 positions not read), holders (the largest wallets with exchange, lock and burn addresses named apart, or unknown: true with the reason when there is no real list yet), age (pool and token, from the first block their code existed), activity (swaps, buys vs sells, unique traders, volume and the largest sell over the window read), flow (who sold over that window: the deployer and wallets it funded, netted against liquidity they added back to the same pair, top holders selling over a quarter of their balance, and for a pool under an hour old the launch-block buyers still holding), venues[] (the scanned pool first, pools under $100 left out) and contract.properties (the GoPlus contract flags, true/false/null, with the ones it did not check named). No API key; pool figures are never cached, contract properties (from GoPlus) for up to 6 h.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
addressYesA BSC token address, a pool/pair address, or any BscScan / DexScreener / PancakeSwap link containing one

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.1/5.0
Behavior5/5

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

Annotations already declare readOnlyHint/destructiveHint, and the description adds substantial behavior beyond them: no API key needed, pool figures never cached vs contract properties cached up to 6h, and explicit error semantics ('tax that could not be measured comes back null with a warning, never as 0%' and 'quotable: false with a reason is an answer, not an error'). This is exactly the extra disclosure annotations cannot carry.

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

Conciseness3/5

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

Front-loaded with purpose and then delivers a dense, single-paragraph inventory of every returned field. The content is information-bearing rather than padding, but the run-on wall of text with no structuring is hard to parse and clearly overlong even accounting for the absence of an output schema.

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?

With no output schema, the description carries the burden of explaining returns and does so thoroughly — cost components, 1% price-impact sizes, measured tax with source, LP custody, holders, flow, venues, and contract properties. For a read-only single-parameter tool this leaves an agent well equipped to interpret results.

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

Parameters3/5

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

Single parameter at 100% schema coverage, so the schema already documents that the input accepts a token address, pool/pair address, or a BscScan/DexScreener/PancakeSwap link. The description only restates 'ANY token or pool' and adds no format or resolution detail beyond the schema, fitting the baseline 3.

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?

States a specific verb and resource ('the full honeypot / rug-pull / liquidity read' and 'measure what a trade on BNB Smart Chain would actually cost') for ANY token or pool. It also positions itself relative to the sibling preflight ('behind the preflight'), so an agent can tell it apart from bsc_token_preflight without opening the schema.

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

Usage Guidelines3/5

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

Usage is implied by 'before placing it' and by the reference to being the deeper read 'behind the preflight', which borders on routing. However, no explicit when-to-use vs when-not, and no alternative sibling is named for cases where this is overkill — the agent must infer the relationship to bsc_token_preflight itself.

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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