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trust_check

Paid-delivery-verified trust verdict BEFORE you pay: score, tier, recommendation, and explainable confidence+reasons+evidence (Aegis pays real money to confirm delivery; coverage-only scores cannot). Paid $0.05 via x402 (_meta['x402/payment']).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations at any level, this description carries the full load and discloses genuinely important behavior: calling the tool costs real money ('Aegis pays real money to confirm delivery') and passes an explicit $0.00 cost 'Paid $0.05 via x402' as well as the output spec. Timeout, failure, refund, and caching behavior isn't covered, but the cost-driven side effect is exactly the information an agent needed to be aware of.

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

Conciseness4/5

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

The description front-loads the crucial claim and may be the same result sentence lists all return parts and the differentiator. Payment importance is matched twice ('Aegis pays real money' and 'Paid $0.05 via x402'), which works in a compact way; both meet expectations, and the whole text is short enough to be processed quickly.

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?

With no output schema and no annotations, the description manages to spell out the provided output components (score, tier, recommendation, explainable confidence+reasons+evidence) and to state the mandatory $0.05 fee, which covers the major gaps. What it doesn't explain are complement and edge cases, e.g., what happens when a payment or verification fails — but for a small one-parameter tool at a nominal fee, the core is complete.

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?

The schema has url as a plain string with no description (0% coverage), so the description had ample room to explain it, but the word 'url' doesn't appear in the description at all. The purpose 'Before you pay...', implies the URL is the destination to verify, so the context mostly fills in the gap, but no explicit semantics, normalization, or valid domains are given to fully compensate for the map's absence.

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 an active, identifiable resource: it returns a 'trust verdict' with score, tier, recommendation, and explainable confidence+reasons+evidence, based on a paid-delivery verification performed before the user pays. It also separates itself from coverage-only scores ('coverage-only scores cannot'), providing a clear purpose and a start on differentiation, though no sibling tool is explicitly named.

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?

It gives a clear point for when to use the tool: 'BEFORE you pay'. It implies that coverage-only scoring tools cannot deliver this kind of proof, but it does not name an alternate sibling to use when you only need coverage or reputation, so the usage boundary in the sibling family is implicit rather than prescriptive.

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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