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Automaton Token Safety

tx_simulate

PAID 0.01 USDC/call, or free trial (3/day/IP). Read-only buy/sell simulation of a Base token through the Uniswap V2 WETH pool: returns reverts, the MEASURED transfer tax and a honeypot verdict. No transaction is sent. On 402, pay the accepts[] terms then retry with the payment tx hash. (Not the same tool as simulate_base_transaction, which dry-runs arbitrary calldata for free.)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sideYesTrade direction being simulated
tokenYesToken contract to trade (0x...)
amountYesETH for a buy, token units for a sell (positive decimal string)
walletYesAddress simulated as the trader (0x...)
paymentNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.8/5.0
Behavior5/5

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

No annotations exist, so the description carries the full burden, and it delivers: read-only, no transaction sent, what is returned (reverts, measured transfer tax, honeypot verdict), pricing (0.01 USDC/call, 3/day/IP free trial), and the payment/auth flow on HTTP 402. This is unusually rich behavioral disclosure for a mutation-adjacent tool.

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 dense sentences, front-loaded with the core purpose and pricing, with the sibling disambiguation in a trailing parenthetical. Every sentence earns its place, though the information is packed tightly rather than scannable.

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?

With no output schema or annotations, the description must explain returns, cost, payment, and scope on its own, and it does: it names the concrete outputs, the pricing model, the retry path, and the sibling distinction. Nothing an agent needs to call it correctly is missing.

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

Parameters4/5

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

Schema coverage is 80% (token, side, amount, wallet all documented). The one undocumented parameter, 'payment', is given meaning by the description's 402 flow ('pay the accepts[] terms then retry with the payment tx hash'), which adds value beyond the bare schema and compensates for the coverage gap.

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 and resource with scope: 'Read-only buy/sell simulation of a Base token through the Uniswap V2 WETH pool.' It even names the sibling it is not (simulate_base_transaction), so an agent can disambiguate the two without opening either schema.

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

Usage Guidelines5/5

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

Explicitly distinguishes itself from the alternative tool by stating the other simulates 'arbitrary calldata for free,' which tells the agent which one to pick. It also describes the paid-vs-free-trial condition and the 402 retry procedure, covering the practical when/how to invoke.

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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