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PAYNE Commercial Truth & Machine Revenue Exchange

base_block_number

Read the current Base mainnet block number with RPC-source attribution and fallback.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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 empty annotations, the description carries the full disclosure burden and does well: it reveals the data is read via RPC with source attribution and that a fallback mechanism exists. This tells the agent important non-obvious behavior (source dependency, resilience) beyond what any structured field provides.

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 front-loaded sentence with zero waste: verb and resource come first, with the attribution/fallback behavior appended compactly. Every word earns its place.

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?

For a simple zero-parameter read with no output schema, the description covers purpose and behavioral notes (RPC source, fallback) sufficiently. Only the return format is unspecified, which is minor for such a simple tool.

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?

Zero parameters, so the rubric baseline is 4. There is nothing to describe; the RPC-source attribution detail adds relevant context about how the result is obtained even though no inputs exist.

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 ('Read') and resource ('current Base mainnet block number'), making the tool's job unambiguous. It is distinct from the sibling base_* tools which read different resources (transactions, balances, nonces), though it doesn't explicitly name those alternatives.

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?

Usage is implied — it's a read of block number on Base mainnet — but there is no explicit when-to-use guidance or exclusion relative to sibling tools like base_transaction or base_nonce. For a zero-parameter singleton read, this is adequate but not 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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