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token liquidity

token_liquidity
Read-only

Where a token's liquidity sits and whether it can be pulled: the 5 biggest pools with USD liquidity, and for each V2-style pool whether the LP tokens are burned, held by contracts (usually lockers) or held by ordinary wallets (rug risk). Concentrated-liquidity pools are marked not verifiable. Base, Ethereum, BSC. Costs $0.004 USDC per call (x402).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNobase (default), ethereum, bsc
addressYesToken contract (0x)

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 only cover read-only and open-world; the description goes well beyond by disclosing the paid x402 cost ($0.004 USDC per call) — critical for a tool an agent may auto-invoke — plus an honest limitation that concentrated-liquidity pools are marked 'not verifiable', which prevents the agent from over-trusting the rug-risk output.

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

Conciseness4/5

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

Information-dense and front-loaded: the payoff (liquidity location and pull-ability) opens the sentence, with methodology, coverage, and cost following. It reads as one long run-on sentence with stacked clauses, which slightly hurts scannability, but nothing is wasted.

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

Completeness4/5

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 return-shape burden and largely does so — top 5 pools ranked by USD liquidity, per-pool LP holder classification, and the verifiability caveat for CL pools. It omits anything about response format, ordering guarantees, or handling of tokens with fewer than five pools, which is a minor residual gap.

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?

Schema coverage is 100% with only two simple parameters, so the schema already documents address and the chain enum-ish list. The description's 'Base, Ethereum, BSC' merely restates the chain parameter values and adds no syntax or defaulting detail 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?

States a specific analysis verb and resource: where a token's liquidity sits and whether LP can be pulled, naming the exact deliverable (top 5 pools by USD liquidity, per-pool LP burn/locker/wallet classification). This clearly separates it from siblings like token_holders, token_price, token_scan, or defi_tvl, which cover different aspects of a token.

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?

The use case is implied by the framing ('whether it can be pulled' = rug/liquidity-risk check), and the three supported chains plus the $0.004 cost are stated, so an agent can judge fit. However, no sibling alternative is named (e.g., when to prefer this over token_verdict, token_report, or token_scan) and no when-not-to-use condition is given.

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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