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LLM Red-Team Scanner

get_pricing

PRO pricing & payment info: 44 probes / 20 attack classes / 0-100 score / CI gate / per-class remediation, 0.15 XNO (ERC-20 or Lightning) or card.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full burden; the 'get_' prefix and 'info' wording suggest a read, and it usefully discloses the actual price (0.15 XNO) and accepted payment rails (ERC-20, Lightning, card). It does not say whether the price is one-time or recurring, whether it is cached, or what the response contains, which matters for an unannotated tool.

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?

One compact line with the key information (what it is, price, payment methods) front-loaded. The slash-delimited feature list costs a little density but no sentence is wasted.

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

Completeness3/5

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

For a zero-parameter pricing lookup with no annotations and no output schema, the description should at minimum clarify tier scope (one-time vs subscription) and whether payment happens here or via get_purchase_flow; it gives price and rails but leaves that routing ambiguous.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline 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 opens with a specific resource label, 'PRO pricing & payment info', which tells an agent this tool returns the paid tier's cost and payment details, separable from get_purchase_flow and run_free_scan. The remainder is a feature list that muddies rather than sharpens the purpose.

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 only implied: an agent can infer you call this to learn PRO cost, but there is no explicit when-to-use, no mention of get_purchase_flow as the follow-up, and no statement that this is informational only and does not initiate a transaction.

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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