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Eth call, Gnosis contract call

gnosis_call
Read-only

Read-only contract call on Gnosis (eth_call): send ABI-encoded calldata to a contract at the latest block and get the raw return data, without a transaction or gas. Use to read any view function that has no dedicated tool (the example reads USDC totalSupply, selector 0x18160ddd); decode the result with the function's ABI. Calldata up to 8 KB; a call that reverts is 422 with the reason, uncharged. Example: to=0x2a22f9c3b484c3629090FeED35F17Ff8F88f76F0, data=0x18160ddd. Price $0.01/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
toYes0x contract address to call
dataYes0x ABI-encoded calldata: 4-byte selector plus arguments
fromNoOptional 0x sender address for calls that check msg.sender

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.6/5.0
Behavior5/5

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

Goes well beyond the annotations: 8 KB calldata limit, revert behavior (422 with reason, uncharged), pricing at $0.01/call with 25 free calls, failed calls free, and the warning that repeats are charged. This is consistent with idempotentHint=false and adds genuinely operational context an agent needs before calling.

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-loaded with the core definition and the use case before pricing details, and every clause is substantive. There is minor redundancy ('uncharged' followed by 'failed calls free', and the read-only statement echoing readOnlyHint), which keeps it just short of a 5.

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, the description properly explains the return value (raw return data requiring ABI decoding), covers the call limit, revert handling, and cost model. Nothing an agent needs in order to invoke 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 100%, so the baseline is 3; the description adds a concrete worked example (to=0x2a22..., data=0x18160ddd) and explains that data is selector-plus-arguments and the result must be decoded with the ABI. It adds real semantic value beyond the schema field text without contradicting it.

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 ('Read-only contract call on Gnosis (eth_call)') plus what it returns ('raw return data, without a transaction or gas'). It also distinguishes itself from the large sibling family by scoping to view functions that have no dedicated tool, so an agent can tell it apart from gnosis_token_balance or gnosis_storage.

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?

Explicitly says to use it for any view function lacking a dedicated tool, which implicitly routes the agent away from the specialized siblings. It stops short of naming a concrete alternative sibling or an explicit when-not case, so it is clear but not fully prescriptive.

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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