Skip to main content
Glama

simulate_swap

Simulate a token swap on Uniswap V3 to verify expected output, price impact, and gas costs before executing.

Instructions

Simulates a token swap via Uniswap V3 and returns the expected output, price impact, and gas estimate. ALWAYS call this before execute_swap to verify the trade is viable. Returns a simulation_id that must be passed to execute_swap.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chain_idNoChain ID. Default: 1 (Ethereum mainnet).
to_tokenYesToken to buy. Use symbol or contract address.
amount_inYesAmount to sell in human-readable units. Example: "1.5" for 1.5 ETH.
from_tokenYesToken to sell. Use symbol (ETH, USDC, WBTC) or contract address.
slippage_toleranceNoMax slippage tolerance in percentage. Example: 0.5 = 0.5%.
Behavior5/5

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

No annotations provided, so description carries full burden. It states it is a simulation (non-destructive), returns expected output, price impact, gas estimate, and a simulation_id, covering key behavioral aspects without contradiction.

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

Conciseness5/5

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

Two sentences, front-loaded with purpose and usage guidance, no redundant information. Extremely concise and well-structured.

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?

No output schema, but description explicitly lists returned values (expected output, price impact, gas estimate, simulation_id) and notes dependency on execute_swap. Complete for the tool's purpose.

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% with clear descriptions for all parameters. The description adds no additional meaning beyond the schema, so baseline score of 3 is appropriate.

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?

The description clearly states it simulates a token swap via Uniswap V3, returning expected output, price impact, and gas estimate. It distinguishes from execute_swap by specifying it should be called beforehand.

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 says 'ALWAYS call this before execute_swap to verify the trade is viable' and notes the returned simulation_id must be passed to execute_swap, providing clear sequential guidance.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/felippeyann/agentfi'

If you have feedback or need assistance with the MCP directory API, please join our Discord server