When I have a object of type ContractAbstraction<ContractProvider>, I can get a key/value map of all the endpoints in the deployed contract like this:

const contract: ContractAbstraction<ContractProvider> = client.contract.at(this.state.contractAddress);
const methods = contract.methods;

where client has type TezosToolkit and handles the RPC interaction with a node.

And I can get a list of method (smart contract function) names like this

function getObjectMethodNames(obj: any): string[] {
  if (!obj) {
    return [];

  return Object.getOwnPropertyNames(obj)
    .filter((p) => typeof obj[p] === 'function')
    .map((name) => name.toLowerCase());
const methodNames: string[] = getObjectMethodNames(contract.methods);

But how do I get information about how many arguments each function takes and what type the arguments have? Is that possible using Taquito?

I can see from the block explorer Better Call Dev that this should be possible since they show not only a list of functions for a smart contract but also each function's signature.

2 Answers 2


Yes, you can get the function signature, not just the function names. This can be done like this.

const contract: ContractAbstraction<ContractProvider> = client.contract.at(this.state.contractAddress);
const signatures: string[][] = contract.parameterSchema.ExtractSignatures();

signatures will then contain an array of an array of strings, where element 0 in each array is the function name, and the rest of the elements are the types from the function signature.

For example, for a basic FA1.2 contract, you would have.

signatures = [
["approve", "address", "nat"],
["get_allowance", "address", "address", "contract"],
["get_balance", "address", "contract"],
["get_total_supply", "unit", "contract"],
["transfer", "address", "address", "nat"]]

If you want a dict of the types that each function takes, with the function name as key, you can get it like this:

  const signatures: string[][] = contract.parameterSchema.ExtractSignatures();
  let signatureDict: StringDictionary<string[]> = {};
  for (let i = 0; i < signatures.length; i++) {

    // 0th element is key, the rest are values of the dict
    signatureDict[signatures[i][0]] = signatures[i];
  • But far as I can see, Taquito only supports basic the interpretation of basic types like nat, address, and int. For more complex types like a list of composite types it will just return list and not for example list({"sender": <address>, "amount":<nat>}. Optimally I would be able to inspect the function signatures as well as I can on the Better Call Dev block explorer. Oct 31, 2020 at 14:00

I've been digging around Taquito source code and I cannot find any information about the arguments for each entrypoint.
However, after you created the contract abstraction, you can use the parameterSchema property on it to get a JSON representation of the value the contract expects as a parameter:

const contract: ContractAbstraction<ContractProvider> = client.contract.at(this.state.contractAddress);
const parameters = contract.parameterSchema;

This outputs: { "root": { "val": (JSON value) } }

That being said, I am not sure how this information would be useful as Taquito verifies internally that the provided arguments are correct before emitting a transaction, so you don't have to worry about it :)

  • Why it is useful? You can make a pretty sweet frontend for contract interaction if you the function signatures :) Oct 31, 2020 at 13:48
  • Have a look at the "Call function" here to see what this can be used for :) myxtzwallet.tokengate.io Nov 2, 2020 at 11:46
  • It's a strongly and dynamically typed interface for making function calls on any deployed smart contract. Nov 2, 2020 at 11:51
  • My comment meant "it is not so useful for most dapps" rather than "it is completely useless" :) For a dapp where users are asked to provide raw values that are forwarded to a smart contract, that may be useful, but for the majority of dapps where interactions are button clicks and input of strings/numbers, it is not necessary as Taquito takes care of all the formatting and validating. Nov 2, 2020 at 15:06

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