nwsppr plans
list_plansThe plan and its add-ons, what each includes, the price when it's public, the industries nwsppr covers, and how buying works.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_plansThe plan and its add-ons, what each includes, the price when it's public, the industries nwsppr covers, and how buying works.
| 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, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered by structured data. The description adds nothing behavioral beyond that — it only previews the content returned — and since there is no output schema this preview is its only added value, so a middle score is warranted.
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 compact sentence with no filler, and the most decision-relevant elements (plan, add-ons, price) come first. It is however a grammatical fragment rather than a self-contained statement of action.
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 must carry the burden of explaining returns, and it does give a rough inventory of return content, which is useful. It still omits whether the result is a single plan or a full catalog, whether pricing is conditional on region or auth, and how the data ties into the signup 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 with 100% schema coverage, so there is nothing for the description to disambiguate. The baseline for a parameterless tool applies.
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 enumerates the content offered (plan tiers, add-ons, inclusions, public pricing, industries, purchase mechanics), which implies this is a catalog/pricing lookup for nwsppr plans. But it is a noun-phrase fragment with no verb or object of action, so the agent must infer that this is a read/list operation, and nothing distinguishes it from siblings like start_signup.
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, no exclusion conditions, and no reference to the sibling tools. An agent cannot tell from the description whether to call this before start_signup, whether it is required for purchasing, or what situation should select it.
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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