Get 64 Types pricing
get_pricingWhat is free (the test, result and every type profile) and the optional paid reports with prices and checkout links.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_pricingWhat is free (the test, result and every type profile) and the optional paid reports with prices and checkout links.
| 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=true and openWorldHint=false, so the safe-read profile is covered. The description adds that the response includes both free-tier facts and paid report prices with checkout links, which is useful content context, but says nothing about format, caching, or whether prices can change.
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?
It is short with no wasted clauses, but it is a sentence fragment that leads with 'What is free' rather than an action, and the parenthetical 'the test, result and every type profile' is slightly ambiguous about what is returned.
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 carries the burden of explaining returns and does list the main content (free features plus paid reports with prices and links). However, it doesn't describe response shape or whether free and paid items come back in one structure, so an agent knows what's included but not how.
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 and there is no parameter semantics to explain. The description correctly implies a no-argument, unconditional lookup rather than suggesting any filters are needed.
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 identifies the resource (pricing: what's free vs. paid reports) but is a noun-phrase fragment with no verb, so it never explicitly says 'retrieve pricing.' It does convey scope that separates it from siblings like get_checkout_link, but the purpose reads more like a content inventory than a tool action.
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?
No guidance on when to call this versus get_checkout_link or the other pricing-adjacent siblings, despite get_checkout_link being an obvious alternative. There are no prerequisites or exclusions stated, leaving the agent to infer ordering from the description alone.
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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