get_pricing
Free. AuthiChain verification is free: use the verify_record tool, or GET https://authichain.com/api/verify. Paid plans are on hold, so no prices or Payment Links are listed.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Free. AuthiChain verification is free: use the verify_record tool, or GET https://authichain.com/api/verify. Paid plans are on hold, so no prices or Payment Links are listed.
| 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. It usefully discloses that verification is free and that paid plans are on hold, so no prices or Payment Links are returned — real behavioral context about the response contents. It still omits the concrete return shape (empty result vs. message) and whether any auth is needed.
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?
Front-loaded with the key fact ('Free.') and then one compact sentence covering the alternative and the reason no prices appear. Slightly awkward in mixing a tool recommendation with a raw URL, but no wasted sentences.
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 tool with no output schema and no annotations, the description covers the essential context: the resource is free, paid tiers are suspended, and where to go for verification. Only the exact return value of this call remains unspecified.
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 schema defines zero parameters at 100% coverage, so there is nothing for the description to compensate for. Baseline 4 applies; no parameter detail is needed or missing.
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 name implies a pricing lookup, and the description clarifies the actual state: verification is free and no paid prices or Payment Links exist. However, it never states what the tool itself returns (an empty/absent pricing payload, an explanatory message, or an error), so an agent cannot fully predict the outcome of calling it.
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?
It explicitly routes the agent to the alternative for the actual task: 'use the verify_record tool, or GET https://authichain.com/api/verify'. That is a clear when-to-use-this-instead signal, though it does not state when get_pricing itself should ever be called.
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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