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
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
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.
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.
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.
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.
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.
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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