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base_analytics

Read-onlyIdempotent

Fetches Base 0x wallet balance and nonce stats ($0.002 USDC)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
addressYesTarget 0x EVM wallet address on Base Mainnet

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
nonceYesAccount transaction nonce
addressNoQueried wallet address
networkNoBlockchain network identifier
successYesExecution status
ethBalanceYesNative ETH balance in ether

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / address / description
      Added value: +"Target 0x EVM wallet address on Base Mainnet"
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "address": {
      +      "description": "Queried wallet address",
      +      "type": "string"
      +    },
      +    "ethBalance": {
      +      "description": "Native ETH balance in ether",
      +      "type": "string"
      +    },
      +    "network": {
      +      "description": "Blockchain network identifier",
      +      "type": "string"
      +    },
      +    "nonce": {
      +      "description": "Account transaction nonce",
      +      "type": "integer"
      +    },
      +    "success": {
      +      "description": "Execution status",
      +      "type": "boolean"
      +    }
      +  },
      +  "required": [
      +    "success",
      +    "ethBalance",
      +    "nonce"
      +  ],
      +  "type": "object"
      +}
  2. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds a real behavioral fact not present in structured data — the $0.002 USDC cost — which is valuable for an agent deciding whether to call it, but it says nothing about latency, rate limits, or error behavior.

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?

A single compact sentence that front-loads the action and resource and appends the cost. No filler, nothing to trim.

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?

An output schema exists, so return values need not be described, and annotations carry the safety profile. The description supplies the cost context and chain scope, leaving only usage-vs-alternatives unaddressed for what is a simple single-parameter read.

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 parameter and schema description coverage is 100%, with the schema already documenting 'Target 0x EVM wallet address on Base Mainnet'. The description contributes the chain/net constraint but no additional format or validation detail. Baseline 3 applies.

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?

States a specific verb ('Fetches') plus the resource ('Base 0x wallet balance and nonce stats'), so an agent knows exactly what it returns. Chain/scope qualifiers (Base, 0x) implicitly separate it from chain-specific siblings like arc_analytics, but no sibling is named explicitly.

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

Usage Guidelines2/5

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

There is no statement of when to use this tool versus alternatives such as arc_analytics or arc_network_oracle_query, nor any prerequisites. Usage is only implied by the Base/0x scoping in the description.

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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