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MCPFax On-Chain Toolkit

ERC-20 token details by contract address

token_info

Read an ERC-20's name, symbol, decimals and total supply straight from the contract on the chain you name, and confirm the address actually has code there. Use before quoting an amount or building a transfer: getting decimals wrong is the classic way to send 1,000,000x the intended value. An address with no code, or a contract that is not an ERC-20, is reported as such and is NOT charged. Costs $0.005 USDC per call via x402 on Base.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNoethereum, base, arbitrum, optimism or polygon. Defaults to base.
addressYes0x-prefixed 20-byte contract address.

TDQS

A4.3/5.0
Behavior5/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states that the tool reads on-chain data, reports invalid or non-ERC-20 addresses as such, is NOT charged in those cases, and costs $0.005 USDC via x402 on Base. This is exceptional transparency for a read-only utility.

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?

Three sentences, each earning its place: the function, the use case with a concrete caution, and the cost/error behavior. The 1,000,000x example is vivid but relevant, not padding. The structure front-loads the core action before extras.

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?

Despite having no output schema, the description names the returned fields (name, symbol, decimals, total supply) and the code-existence confirmation. It also covers edge cases (no code, non-ERC-20), pricing, and payment rail. An agent knows what to expect and how the call behaves under failure.

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 description coverage is 100%, so both parameters are already well documented: chain lists the supported networks and default, and address specifies the 0x-prefixed format. The description does not add parameter-level detail beyond the schema, though it contextualizes the importance of decimals. Baseline 3 is appropriate.

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?

The description opens with a specific verb and resource: 'Read an ERC-20's name, symbol, decimals and total supply straight from the contract.' This makes the tool's function unmistakable. It does not explicitly contrast with sibling tools like address_info, but the focus on token metadata is distinctive enough to avoid serious confusion.

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

Usage Guidelines4/5

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

The description gives an explicit, actionable use case: 'Use before quoting an amount or building a transfer' and explains why decimals matter. It does not name alternatives or state when not to use the tool, but the timing guidance is concrete and useful.

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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TDQS

A3.8/5.0
Disambiguation5/5

Each tool targets a clearly different resource or moment: address state, token contract metadata, gas price, transaction status, and the two sides of the data-request marketplace. demand_report and request_data are related but cleanly split between aggregate supply/demand and a specific inquiry. No pair is likely to cause an agent to pick the wrong tool.

Naming Consistency4/5

All names are lowercase snake_case and mostly follow a descriptive noun-noun pattern like address_info, token_info, and tx_status. request_data is the one imperative-style outlier, and gas_now deviates from the noun-info pattern, but neither is confusing. The naming is broadly predictable with only minor deviations.

Tool Count5/5

Six tools is a well-scoped set for a focused on-chain data and utility MCP. Each tool has a distinct job and there is no redundancy or padding. The set feels neither too thin nor too heavy.

Completeness4/5

The paid tools cover the main pre-transaction checks (address, token, gas) and post-transaction confirmation, while the free tools form a closed loop for discovering and requesting additional data. Minor optional additions like chain metadata or transaction history are workable gaps and do not create dead ends. The surface is complete for its apparent read-heavy purpose.

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