Prepare a bounded, simulated exact-buy route to a payer-owned Base USDC target covering the x402 payment and optional buffer. Costs $0.05 USDC; buyer confirms funding, then retries standard x402 once.
| Name | Required | Description | Default |
|---|---|---|---|
| request | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full transparency burden and does so well: it discloses the $0.05 fee, the simulated (non-executing) nature, boundedness, the payer-ownership requirement, the buyer confirmation step, and a single retry of the standard x402 payment. It stops short of describing failure modes or authorization requirements, but the disclosed traits are substantial.
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 two tightly packed sentences that front-load the core purpose before adding cost, confirmation, and retry details. Every phrase ('bounded', 'simulated', 'exact-buy', 'payer-owned', 'optional buffer', '$0.05', 'retries once') earns its place, with no redundancy or filler.
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?
Despite a multi-step behavioral profile (simulation, fee, funding confirmation, retry), there is no output schema, no annotations, and an opaque request schema, and the description does not compensate by explaining the I/O contract. It omits the request shape, success/failure semantics, and the operational meaning of 'bounded' and 'simulated', leaving an agent under-equipped for a tool of this complexity.
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?
The sole 'request' parameter is an unconstrained nested object with 0% schema description coverage, and the description never specifies its expected fields or structure. Terms like 'payer-owned Base USDC target', 'x402 payment', and 'optional buffer' hint at the likely request content but are not mapped to the parameter, forcing the agent to guess.
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 opens with a specific verb ('Prepare') and a well-qualified resource ('bounded, simulated exact-buy route to a payer-owned Base USDC target'), making the tool's purpose immediately clear. The 'simulated' qualifier and 'x402 payment' framing distinguish it from execution- and verification-focused siblings like verify_swap_execution or prepare_token_transfer, though the domain jargon ('x402', 'exact-buy') is left unexplained.
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?
Usage context is implied through the workflow: it costs $0.05, the buyer confirms funding, and then the standard x402 is retried once — suggesting this is a supplemental/fallback routing step. However, there are no explicit when-to-use or when-not-to-use conditions, and no sibling alternatives (e.g., get_safe_swap_quote, preflight_transaction) are named.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools have clearly distinct purposes, but there is some functional overlap among safety and verification tools (e.g., check_base_swap vs guard_base_trade, verify_swap_execution vs verify_transaction_intent) that could cause confusion without careful reading. Overall, the descriptions help differentiate them.
All tool names follow a consistent verb_noun snake_case pattern with clear verbs (check, get, guard, list, preflight, prepare, protect, prove, route, verify). No mixed conventions or ambiguous naming styles are present.
Twelve tools is well-scoped for a blockchain safety and payment protection server. Each tool serves a distinct function in the workflows of asset discovery, risk assessment, transaction preparation, and verification, without feeling excessive or sparse.
The toolset covers the core domain comprehensively, including safety checks, swap quotes, trade guarding, transaction simulation, transfer and payment preparation, and verification. Minor gaps exist (e.g., no tool for revoking or managing receipts), but the main workflows are well-served.