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Fresh token launches (pre-read)

token_launches
Read-onlyIdempotent

PAID ($0.02/call). Fresh token launches with HostDeFi safety pre-reads baked in: newest token profiles annotated with authority state, bundled-launch flag, holder concentration and market depth — the clean flag is fail-closed (true only when every check is provably good). Call once WITHOUT x402_payment to receive the x402 payment requirements (an accepts array); pay one of them with any x402 client/wallet, then call again with x402_payment set to the base64 X-PAYMENT payload. You are only charged when a result actually comes back.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNochain filter (default solana)
limitNo
x402_paymentNobase64 X-PAYMENT payload

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 mark this as read-only and idempotent, but the description adds substantial behavioral context: it is paid at $0.02/call, the user is charged only when a result returns, and the clean flag is fail-closed. The two-call payment handshake is also disclosed, which is critical for an agent to invoke the tool correctly.

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?

The description is compact and front-loads the paid nature before explaining the payment flow. The em-dash list and semicolon-heavy second sentence require a bit of parsing, but every sentence carries necessary information with no wasted words.

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?

Even without an output schema, the description tells the agent what results contain, how to obtain them via the payment handshake, and when charges apply. The invocation path is fully specified and no critical step is missing.

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 67%, and the description adds real operational meaning for x402_payment by explaining that it is the base64 X-PAYMENT payload from the initial requirements call. However, the description adds nothing beyond the schema for chain or limit, so the added parameter-level value is only partial.

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 clearly defines the tool as returning fresh token launches with HostDeFi safety pre-reads, listing concrete fields such as authority state, bundled-launch flag, holder concentration, and market depth. It is unambiguous about the resource and scope, but it never uses an explicit retrieval verb and does not contrast itself with sibling scan/report tools, so it stops short of full differentiation.

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

Usage Guidelines4/5

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

The description gives explicit operational guidance for the two-step payment flow: call once without x402_payment to receive an accepts array, pay, then call again with the base64 X-PAYMENT payload. It clearly explains the required invocation sequence, though it does not state when to prefer this tool over siblings like scan_token or radar_alerts.

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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