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trading-signals-mcp

Base Token Verdict

token_verdict
Read-only

A-F safety verdict for a Base ERC-20: metadata and supply, owner/renounced, upgradeable-proxy check, Uniswap/Aerodrome liquidity vs WETH/USDC, buy→sell honeypot simulation with taxes, known-holder concentration. Read from Base mainnet. Works with no key (small daily allowance) or with a Trading Signals Toolkit API key (free 100 calls/month, Starter, Pro). Pay-per-call equivalent: $0.02 USDC over x402. Informational only, not investment advice.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "address": "<address>"
    },
    "name": "token_verdict"
  }
}

Input Schema

NameRequiredDescriptionDefault
addressYesBase ERC-20 token contract address

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint=true, destructiveHint=false, openWorldHint=true), so the description's real contribution is auth and cost behavior: it works keyless with a small daily allowance, or with an API key at tiered quotas, or pay-per-call at $0.02 USDC over x402, all read from Base mainnet. That is meaningful operational context not present in the structured fields; only the output shape and latency of the honeypot simulation are left undisclosed.

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?

Front-loaded with the verdict and its component checks, followed by access/pricing and the disclaimer. It is dense rather than padded, though the pricing and tier sentence is long enough to slow an agent scanning for the core purpose.

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?

For a one-parameter read-only tool with no output schema, the definition covers what is inspected, the chain, the access/cost model, and the non-advice caveat. The remaining gap is that the shape of the returned verdict (grade plus per-check detail) is never characterized, which matters somewhat given there is no output schema to fall back on.

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?

There is a single parameter, fully described in the schema including a 0x-address pattern, so the schema carries the load and the baseline applies. The description adds only the implicit constraint that the address must be a Base mainnet ERC-20 contract, which is genuinely useful but modest.

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?

States a specific verb+resource: an 'A-F safety verdict for a Base ERC-20', then enumerates the exact checks performed (metadata/supply, owner/renounced, proxy, Uniswap/Aerodrome liquidity vs WETH/USDC, honeypot simulation with taxes, holder concentration). This is far more specific than any sibling (ai_trade_brief, pre_trade_check, etc.) and lets an agent tell it apart without opening the 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 scope ('safety verdict for a Base ERC-20') and by the 'informational only, not investment advice' caveat, but there is no explicit when-to-use, when-not-to-use, or routing to an alternative such as pre_trade_check. An agent can infer the context but is given no exclusions or comparisons.

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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