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zFinia Intelligence

Base Transaction Outcome

base_transaction_outcome

Did my Base transaction work and what did it cost? One call returns success or reverted, gas used, effective gas price, the fee in wei and in exact decimal ETH, confirmations behind the head, sender, recipient, value and log count. Pending and unknown hashes get a definite answer rather than an error. Pay 6000 atomic USDC on Base via exact x402. MCP does not pay; it provides a challenge handoff.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "hash": "<hash>"
    },
    "name": "base_transaction_outcome"
  }
}

Input Schema

NameRequiredDescriptionDefault
hashYesTransaction hash.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations, the description carries the burden and does a decent job: it discloses the return payload contents, the pending/unknown-hash behavior, and the unusual commercial model (6000 atomic USDC on Base via exact x402, with the MCP only handing off a challenge rather than paying). It omits auth/prerequisite details and latency or rate-limit behavior.

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?

The core question and the returned-field list are front-loaded and information-dense. The trailing payment sentences are necessary given the x402 model, though the phrasing 'Pay 6000 atomic USDC on Base via exact x402' is slightly telegraphic.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Because there is no output schema, the description compensates by enumerating the returned fields, and it flags the x402 payment handoff an agent otherwise would not anticipate. What is missing is whether the call itself blocks on payment confirmation or how a challenge handoff is subsequently completed.

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?

There is a single required parameter and the schema already documents it at 100% coverage, including a regex pattern and example. The description adds only tangential meaning by mentioning pending and unknown hashes, which is why the baseline of 3 is appropriate rather than higher.

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?

Opens with a specific question form of verb+resource ('Did my Base transaction work and what did it cost?') and then enumerates exactly what is returned: status, gas used, effective gas price, fee in wei and ETH, confirmations, sender, recipient, value, log count. That level of specificity clearly separates it from base_finality_snapshot or foundry_outcome_router.

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

Usage Guidelines3/5

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

The description implies the trigger well (you have a transaction hash and want its receipt outcome) and adds a useful edge-case rule: pending and unknown hashes return a definite answer rather than an error. However, it never names an alternative sibling or states when-not to use it, so routing guidance is inferred rather than explicit.

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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