Pricing
pricingCurrent prices and free allowances. Returns: { product, quota{free,paid,how_to_pay,live,free_now?,charged_now?,trial?}, pricing, billing, api_index }
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
pricingCurrent prices and free allowances. Returns: { product, quota{free,paid,how_to_pay,live,free_now?,charged_now?,trial?}, pricing, billing, api_index }
| 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?
Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered. The description contributes beyond that by disclosing the return shape (product, quota, pricing, billing, api_index), which is valuable since there is no output schema. It stops short of stating auth requirements or whether the pricing is live/cached.
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?
Two short lines, purpose front-loaded, then return shape — no filler. The brace-notation field list is slightly terse but still parseable.
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?
With no output schema, the description is the only source of return-value information, and it supplies field names only. Fields such as live, free_now, charged_now, and trial are not explained, so an agent knows the shape but not the semantics — enough to decide to call it, not enough to interpret the response confidently.
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 the baseline is 4. The description correctly implies a parameterless call and adds nothing misleading about inputs.
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?
"Current prices and free allowances" names a concrete resource (pricing/quota data) and the second line enumerates what the caller gets back. It is clear on its own, but it never distinguishes itself from siblings like billing, consulta_planos, or api_access_buy, which plausibly overlap with pricing information.
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?
There is no when-to-use, when-not-to-use, or alternative-routing statement. An agent must infer that this is the tool to call before a purchase (api_access_buy) or before consulting plan-related siblings, with nothing in the text confirming or excluding that.
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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