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token_transaction_verdict

Paid Base token safety check for autonomous agents. Call immediately before buying or swapping an unfamiliar ERC-20 token to screen honeypot, sell-restriction, tax, blacklist/pause and admin-risk signals. Returns signed ALLOW, WARN or BLOCK evidence. Machine price: $0.005 via x402.

Input Schema

NameRequiredDescriptionDefault
pay_toNoOptional destination/payee address for audit context.
sourceNoOptional integration source; defaults to mcp.
amount_usdNoOptional intended transaction value in USD.
token_addressYesBase ERC-20 contract address to evaluate.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior4/5

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

With no annotations supplied, the description carries the full burden and does real work: it discloses the verdict taxonomy (signed ALLOW/WARN/BLOCK evidence), the risk categories screened, and the paid x402 model at $0.005 per call. It does not cover failure behavior, such as what happens on payment or upstream lookup failure, or latency, which keeps it below 5.

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?

Four short sentences, front-loaded with the purpose and the call trigger, followed by return values and price. No filler, and the pricing detail is placed last where it does not obstruct the primary decision.

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 4-parameter tool with no output schema, the description supplies the missing return semantics (signed ALLOW/WARN/BLOCK) and the payment model. What remains thin is the x402 mechanics — how payment is actually settled during the call — which an autonomous agent would benefit from knowing.

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?

Schema description coverage is 100%, so every parameter including token_address, amount_usd, pay_to and source is already documented in the schema. The description adds no parameter-level meaning beyond that, so the 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?

The description states a specific action and object: an ERC-20 safety screening on Base that checks honeypot, sell-restriction, tax, blacklist/pause and admin-risk signals. That is far more specific than the name alone and clearly separates it from the payment-oriented siblings like firewall_before_payment or preflight_x402, though it never names a sibling explicitly.

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

Usage Guidelines4/5

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

"Call immediately before buying or swapping an unfamiliar ERC-20 token" gives a concrete trigger condition and timing. It stops short of stating exclusions — e.g. whether to skip it for known/whitelisted tokens or how it relates to the sibling preflight/firewall tools.

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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