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Wallet balance, USDC balance: native and USDC balances on 5 networks

wallet_balances
Read-only

Read a wallet's native coin and USDC balances on Base, Ethereum, Arbitrum, Optimism and Polygon in one call, live from each network, plus the USDC total. Use to find where a wallet's funds are before a payment or bridge; for one token on one network use _token_balance, for all tokens on Base use wallet_portfolio. A network whose nodes do not answer is listed with an error instead of failing the call. Example: address=0xd8dA6BF26964aF9D7eEd9e03E53415D37aA96045. Price $0.005/call via x402 USDC or a card key (/credits), first 25 free; failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.

Input Schema

NameRequiredDescriptionDefault
addressYes0x wallet address

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.8/5.0
Behavior5/5

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

Beyond the readOnly/destructive annotations it discloses the partial-failure contract (an unresponsive network is listed with an error rather than failing the whole call), the pricing model ($0.005/call via x402 or card key, first 25 free, failed calls free), and that repeat calls are billed — which explains the non-idempotent hint. It also affirms the tool changes nothing, consistent with readOnlyHint=true.

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?

Front-loads what the tool does and the network list, then alternatives, failure behavior, and cost — every sentence carries payload. It is a dense single block, though; splitting pricing and example into tighter sentences would improve scanability without losing content.

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?

There is no output schema, so the description must signal the return shape, and it does: native plus USDC balances per network and an aggregate USDC total, with per-network errors surfaced inline. For a one-parameter read tool with rich annotations, 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?

With one parameter and 100% schema coverage, the schema already carries most of the semantics; the description adds marginal value by supplying a concrete example address that demonstrates the expected format. It does not state whether ENS names or checksummed vs lowercase addresses are accepted, so it stops short of a 5.

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 (read) and resource (native coin and USDC balances) with explicit scope: five named networks in one call plus a USDC total. It also names the sibling tools it is not (<chain>_token_balance, wallet_portfolio), so an agent can distinguish it without opening any 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?

Gives an explicit use case (locating a wallet's funds before a payment or bridge) and two named alternatives with the exact condition that selects each: one token on one network, or all tokens on Base. Nothing is left to inference.

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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