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

No annotations are provided, so the description alone covers behavioral traits. It discloses the input requirements, output structure (e.g., revenue, expenses, net), pricing, and payment method. However, it does not mention potential errors, read-only nature, or side effects. Lacks full transparency for a tool with no annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is somewhat repetitive (e.g., 'Your AI agent's books in one call' appears twice, and the value proposition is repeated). Could be more concise without losing essential information.

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

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

Given the simplicity (2 parameters, no output schema), the description thoroughly covers what the tool does, what it returns, and the pricing context. The agent can fully understand the tool's output without needing additional schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, and the description adds meaningful context beyond the schema: it explains the period parameter values ('7d/30d/90d') and that the wallet is an EVM address on Base. This enhances understanding.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: structured USDC accounting for a wallet on Base, including revenue vs expenses, net, transaction count, top counterparties, and weekly breakdown. It differentiates from sibling crypto tools by focusing specifically on USDC accounting with a 'turnkey bookkeeping' angle.

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

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

The description explains when to use it (e.g., for structured accounting reports) and distinguishes its value ('the value is the structuring, not raw data access'). It does not explicitly contrast with siblings or state when not to use, but the context is clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.