list_pricing
Return Public Discovery free state and intended introductory paid pricing. Free.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Return Public Discovery free state and intended introductory paid pricing. Free.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
| 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 description frames the tool as a passive read ("Return ... free state"), while annotations declare readOnlyHint=false, meaning the tool is not considered side-effect-free. That mismatch leaves the agent unable to know whether calling it changes anything. With annotations present the bar is lower, but a description that runs counter to them is a contradiction, not merely a gap.
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 and front-loads the verb, but the second "sentence" is a dangling one-word fragment ("Free.") that reads as an editing artifact rather than information. Minimal length is achieved partly by under-specification rather than by precision.
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?
An output schema exists, so return values need no prose, and with zero parameters the surface is small. Still, the undefined "free state" terminology and the ambiguity about whether the call has side effects leave the agent guessing at the tool's actual contract.
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 has zero parameters at 100% description coverage, so there is nothing for the description to clarify; the baseline for a parameterless tool is 4.
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 names a verb ("Return") and a resource (Public Discovery free state and intended introductory paid pricing), so an agent can roughly infer this is a pricing-readout tool distinct from the capability/guidance siblings. However, "Public Discovery free state" is jargon that is never defined, and the trailing fragment "Free." adds no clarity about what is actually returned.
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 indication of when to call this tool, no prerequisites, and no mention of how it relates to any of the nine sibling tools. The agent is left to infer usage entirely from the name.
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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