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pumpdata

launch_record

This launch, historically. The deployer's record at this launch (launches before it, graduations, the gap to the previous one, launches in the last day), the bundle at creation (buyers in the first 10 s and the share of supply they took), the insiders' share now, curve progress, and how launches that looked the same at this age went over their next 24 h (graduation share, peak and close quantiles, how many died). $0.005 a call, USDC on Solana over x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
mintYesthe coin's mint address (base58)
paymentNothe x402 PAYMENT-SIGNATURE value for this exact call (USDC on Solana). Leave it out to get the offer: the price, the payee and the network come back as the error content and as _meta['payment-required'].

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
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 two important traits: the $0.005 per-call cost and the USDC-on-Solana x402 payment rail. It says nothing about rate limits, latency, retry behavior, or whether the call is a pure read, and no safety profile is declared anywhere.

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

Conciseness3/5

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

The content is dense and mostly earns its place, but the parenthetical nesting is heavy and the opening sentence fragment is front-loaded with ambiguity rather than a clear verb-resource statement. The pricing sentence is a useful closer and not 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?

There is no output schema, so the description bears the return-value burden and handles it well by enumerating the returned fields (deployer record, bundle buyers and supply share, insider share, curve progress, comparable-launch quantiles). The payment/offer error flow is covered by the schema rather than the description, which is acceptable.

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 the schema already explains both mint and the payment PAYMENT-SIGNATURE flow (including the offer-on-missing-payment behavior). The description adds no parameter-level detail beyond implying the call is charged, so the baseline 3 applies.

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 enumerates precisely what the tool returns about a given launch: deployer history, bundle-at-creation buyers, insider share, curve progress, and comparable-launch outcomes. That makes the resource and scope unmistakable, though the opening fragment 'This launch, historically.' is cryptic and there is no explicit verb or sibling differentiation against base_rate, replay, or wallet_records.

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

Usage Guidelines2/5

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

There is no statement of when to use this tool rather than base_rate, replay, or wallet_records, and no prerequisites beyond the pricing note. The payment mechanics ('leave it out to get the offer') live in the schema, not the description, so the agent gets no selection guidance from the prose itself.

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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