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Agent Data API

memecoin_token_report

Deep memecoin report (Solana pump.fun / DEX, Base, Ethereum): safety verdict, rug-risk % with factors, launch structure (dev buy and sells, snipers, same-slot bundlers, supply taken and still held), top holders, smart-money buyers, market across windows, a plain-language summary and a shareable card image. Price: $0.02 per call (x402, USDC).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNo
tokenYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3/5.0
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 add two things structured data cannot: the payment model ('$0.02 per call (x402, USDC)') and a full inventory of what the report contains. It does not state latency, failure behavior, or whether a paid call can be re-run/retried, so a mutation-free read still lacks operational context.

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 but well-ordered sentence that front-loads the deliverable and then lists contents, closing with the price. No filler sentences, though the parenthetical content list is long enough that a comma-heavy parse is slightly taxing.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Without an output schema, the description does the heavy lifting on return contents, which it handles well. The price/payment note is included. However, for a tool whose correctness hinges on supplying a valid token identifier and chain, the absence of any parameter guidance leaves a real gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must explain both parameters. It partially compensates for 'chain' by enumerating supported networks (Solana pump.fun/DEX, Base, Ethereum), but never says whether chain is optional or what the default is. The required 'token' parameter — address, symbol, or pair — is never described at all.

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 names a specific artifact ('Deep memecoin report') and enumerates its contents precisely: safety verdict, rug-risk %, launch structure, holders, smart-money buyers, market windows, summary and card image. An agent knows exactly what the tool returns. It stops short of 5 because it never distinguishes itself from close siblings such as token_safety, token_pretrade_check or memecoin_screen.

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 explicit when-to-use or when-not-to-use guidance, and no routing to alternatives despite the sibling list containing several overlapping safety/screening tools. The word 'Deep' implies this is the comprehensive option versus lighter screeners, but that inference is left entirely to the agent.

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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