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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

TableJSON 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. Added

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive/openWorld, so safety is covered. The description adds substantive behavioral context: which venues are scanned, what checks are performed (liquidity, sell simulation, v4 hook powers, first trades), and what the three verdict labels mean. It stops short of noting ordering, pagination, or freshness beyond the one-hour window.

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 with the scope front-loaded and the return contents enumerated after a colon; no filler. It is long, but every clause carries information the agent needs, so it stays close to maximally efficient.

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 burden of describing returns and does so well (verdict, liquidity, sell simulation, hook powers, first trades). It is nearly complete for a read-only discovery tool, lacking only return ordering or paging behavior.

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%, so all six parameters are already documented with defaults, ranges and enums, which sets the baseline at 3. The description reinforces the time window and the risk verdict but adds no syntax or interaction detail beyond the schema, and it does not resolve the mismatch between 'Base or Ethereum' in the prose and the arbitrum/optimism/polygon values mentioned in the chain parameter.

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?

The description states a specific verb and resource (tokens launched in the last hour) with explicit scope: Base or Ethereum, Uniswap v2/v3/v4 or Aerodrome pools against ETH/WETH/USDC. It also names what the output contains (verdicts, liquidity, sell simulation), letting an agent separate this discovery tool from token.risk or decision.pre_trade without opening a 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 the scoping language (find freshly launched tokens that have already been risk-checked), but there is no explicit when-to-use guidance, no exclusions, and no named alternative such as token.risk for a single known token. The agent must infer when this tool beats its siblings.

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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