get_plans
Plans, prices (USD and INR) and what each one includes.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Plans, prices (USD and INR) and what each one includes.
| 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?
No annotations are supplied, so the description carries the full behavioral burden and it is silent on everything that matters: it never states the tool is a read-only lookup, that it takes no arguments, or that it has no side effects. The only behavioral signal is the implied static catalog nature of a zero-parameter call, and the mention of USD/INR hints at data scope but not 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 short fragment with no wasted words, and the core content (plans, prices, inclusions) is front-loaded. It is a noun phrase rather than a sentence, which slightly weakens readability but costs nothing in length.
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 an output schema present, return-value detail is legitimately omitted, and a zero-parameter tool needs little else. However, the description gives no hint of when an agent should reach for it versus the sibling checkout/test tools, which is the one gap that matters for a catalog lookup in a purchase flow.
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 there is no parameter semantics to explain and the baseline of 4 applies. Nothing in the description misrepresents or invents 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?
The description names the resource precisely — plans, prices in two currencies, and feature inclusions — which goes beyond a tautological restatement of 'get_plans'. It lacks an explicit verb, so the retrieval action is only inferred from the tool name, and it makes no attempt to differentiate from siblings (create_checkout, get_audit_status), though none of those overlap in purpose.
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 guidance at all: no indication of whether this should be called before create_checkout, whether pricing is region-specific, or whether results are cached. The agent must infer usage purely from the resource 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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