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get_dex_token_intelligence

DEX Liquidity, Slippage & Orderflow Audit API (0.015 USDC via x402): Fetches live DexScreener liquidity pools, FDV, 24h volume, and 1h buy/sell orderflow pressure.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tokenYesToken contract address or symbol (e.g. USDC, WETH, AERO) on Base/Solana/Ethereum

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose one important trait: a 0.015 USDC x402 payment requirement. It does not cover rate limits, whether the call can fail for unsupported chains, or the freshness/latency of the 'live' data, so disclosure is partial rather than rich.

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?

A single dense sentence that front-loads the resource category and enumerates the returned metrics. It is efficient with no wasted clauses, though packing the pricing and source into one line makes it slightly crowded.

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?

For a one-parameter tool with no output schema and no annotations, the description compensates by enumerating the returned fields (liquidity, FDV, volume, orderflow) and the payment cost. Chain support is only implicit via the parameter text, leaving a minor 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 description coverage is 100% for the single `token` parameter, so the baseline is 3. The description adds only the DexScreener data source, which is not in the schema, but contributes no format, chain, or validity nuance beyond what the parameter description already states.

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

Purpose4/5

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

The description states a specific verb and resource: it fetches live DexScreener liquidity pools, FDV, 24h volume, and 1h buy/sell orderflow for a token. This is clearly distinguishable from siblings like scan_onchain_address_risk or get_public_company_sec_intel, though it never names a sibling to sharpen the contrast.

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 only implied by the content (get DEX market metrics for a token address/symbol). There is no explicit when-to-use statement, no prerequisites, and no guidance on when to prefer a sibling tool such as scan_onchain_address_risk. Adequate but leaves routing to inference.

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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