Pricing and credits
get-pricingReturn public pricing semantics, subscription plan credit allowances, and one-time credit pack details.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get-pricingReturn public pricing semantics, subscription plan credit allowances, and one-time credit pack details.
| 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?
The readOnlyHint annotation already tells the agent this is a safe, non-mutating read. The description adds useful scope context by enumerating the three content categories returned, but says nothing about whether pricing is live or static, whether authentication is required for 'public' pricing, or any caching/freshness behavior.
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?
A single front-loaded sentence listing the three content areas with no filler. 'Pricing semantics' is the one phrase that could be plainer, but the sentence is tight and well-ordered.
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, read-only information tool with no output schema, the description covers the three distinct return categories an agent needs to decide relevance. It does not describe the response shape, but the low complexity of the tool makes that a minor gap.
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 schema baseline of 4 applies. There is nothing for the description to clarify beyond confirming the tool is a no-argument lookup, which the empty schema already conveys.
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 pairs a specific verb ('Return') with a well-scoped resource set: public pricing, subscription plan credit allowances, and one-time credit pack details. An agent can tell this is the pricing/credits lookup and that no sibling (blog posts, export formats, generation capabilities) covers the same ground. The phrase 'pricing semantics' is slightly abstract, which keeps it just short of a 5.
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 infers it should call this when a user asks about cost, plans, or credits. There is no explicit statement of when to use it, no exclusions, and no named alternative — reasonable for a zero-parameter static-info tool, but no guidance is actually given.
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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