Skip to main content
Glama

Genexxis paid agent tools (x402)

tokenrisk_token_tax

Buy, sell and transfer tax of a token, measured by a live buy/sell simulation on Base (honeypot.is) or read from the Token-2022 transfer fee on Solana. Also says if the tax can still be changed (fee setter, owner not renounced, fee authority), fee-exempt lists and max tx/wallet limits. Query token=, optional chain=base|solana. Price: $0.006 USDC per call, paid with x402 on Base.

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": {
      "token": "<token>"
    },
    "name": "tokenrisk_token_tax"
  }
}

Input Schema

NameRequiredDescriptionDefault
chainNobase (default for 0x) or solana
tokenYesToken address on Base (0x...) or Solana mint

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
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 real value: it discloses the paid model ('$0.006 USDC per call, paid with x402 on Base'), the chain-specific data source, and that the response covers more than tax (fee-changeability, fee-exempt lists, max tx/wallet limits). It does not state read-only semantics, latency, failure behavior for unsupported/invalid tokens, or output shape beyond a loose enumeration.

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?

Three tight sentences, front-loaded with the core purpose and followed by the extra signal (changeability, limits) and the practical constraint (chain forms, price). The middle sentence is list-like but every item is substantive rather than filler.

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 2-parameter tool with no output schema and no annotations, the description supplies the essentials an agent needs to decide and call: chains, input form, data provenance, what the result contains conceptually, and the paid-access requirement. Only the absence of an explicit sibling/alternative pointer keeps it short of full completeness.

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 both parameters are already documented structurally; the description only restates the input form ('token=<address or mint>') and the Base default for 0x addresses. That is a marginal addition over what the schema and its field descriptions already convey.

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?

States a specific verb set and resource — buy/sell/transfer tax of a token — plus the exact data source per chain (live simulation on Base via honeypot.is, Token-2022 transfer fee on Solana). An agent can distinguish it from the generic tokenrisk_check/honeypot siblings by the tax-specific framing, though no sibling is named explicitly.

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 rather than prescribed: use it for a token address/mint when tax is the question, with 'optional chain=base|solana' telling the agent which input form triggers which chain. There is no explicit when-not-to-use guidance and no named alternative among the many tokenrisk_* siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources