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Market Intelligence API (core)

Find new tokens

token.new_launches
Read-onlyIdempotent

Tokens launched in the last hour on Base or Ethereum, already risk-checked: every new Uniswap v2/v3/v4 or Aerodrome pool against ETH, WETH or USDC with liquidity, sell simulation, v4 hook powers, first trades and a verdict (LOW_RISK, CAUTION, HIGH_RISK).

Input Schema

NameRequiredDescriptionDefault
chainNoChain of the token or pool: base (default), ethereum, arbitrum, optimism or polygon (solana where listed). Not the payment networkbase
limitNoMaximum number of results
minutesNoLook-back for new pools in minutes (default 60)
verdictNoKeep only tokens with this risk verdict: LOW_RISK, CAUTION or HIGH_RISK
minLiquidityUsdNoMinimum pool liquidity in USD
includeEstablishedNoAlso list new pools of tokens that already existed a day earlier (new markets, not launches)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / chain / description
      Previous value: -"Chain of the token or pool: base (default), ethereum, arbitrum, optimism or polygon (solana where listed)"New value: +"Chain of the token or pool: base (default), ethereum, arbitrum, optimism or polygon (solana where listed). Not the payment network"
  2. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive and openWorld, so safety is covered. The description still adds real value by disclosing what is actually performed: sell simulation, v4 hook power checks, first trades, liquidity, and a three-level verdict. It does not say whether results are cached or how fresh the underlying data is.

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?

One dense sentence, front-loaded with the core scope before the supporting detail. It is slightly over-packed with the enumeration of pool sources and checks, but every clause carries substantive information and there is no filler.

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 usefully enumerates the return payload (liquidity, sell simulation, hook powers, first trades, verdict). The remaining gaps are the chain-coverage inconsistency with the schema and the absence of guidance on when to prefer token.risk or token.verdict, which keep it from being fully complete.

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%, so all six parameters are documented in the schema, setting the baseline at 3. The description adds only the default window ('last hour'), and it actually narrows the chain scope to Base or Ethereum while the schema's chain enum description mentions arbitrum, optimism, polygon and solana, leaving the true supported set ambiguous.

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?

States a specific verb and resource ('Tokens launched in the last hour on Base or Ethereum') plus the exact pool types and chains scanned, so an agent knows this is a new-launch discovery feed. It does not explicitly distinguish itself from siblings like token.risk or token.verdict, which also involve risk verdicts, so an agent must infer that this is the discovery counterpart.

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 the scope ('tokens launched in the last hour'), suggesting it fits fresh-launch screening. There is no explicit when-to-use, no exclusions, and no routing to token.risk or token.verdict for already-known tokens. The inclusion of 'includeEstablished' in the schema hints at a boundary with established tokens, but the description never states it.

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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