Snagcast price
get_pricingWhat Snagcast does for free, what Snagcast Pro adds, its one-time price, the free minutes, refunds and how to buy.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_pricingWhat Snagcast does for free, what Snagcast Pro adds, its one-time price, the free minutes, refunds and how to buy.
| 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, openWorldHint=false and destructiveHint=false, so the safety profile is covered. The description adds value by enumerating the topics returned (free tier, Pro tier, one-time price, free minutes, refunds, purchase steps), which is important since there is no output schema, but it says nothing about the structure or format of that information.
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 important content (free vs Pro, price) is front-loaded. It reads as a content list rather than a statement of action, which slightly weakens front-loading of intent.
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 parameters, no output schema, and full annotation coverage, the main burden is describing what information comes back — and the description does enumerate the returned topics clearly. It is complete enough to call correctly, with only the return format left 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 tool takes no parameters, so there is nothing for the description to disambiguate. Baseline 4 applies; the absence of any parameter discussion is appropriate rather than a gap.
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 enumerated content ('what Snagcast does for free', 'what Snagcast Pro adds', 'one-time price', 'free minutes', 'refunds', 'how to buy') makes clear this retrieves plan/pricing information, and combined with the name get_pricing the resource is unambiguous. It lacks an explicit verb, so the purpose is conveyed by content list rather than a stated action, but the resource is identifiable against siblings like get_faq.
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 guidance on when to call this versus about_snagcast or get_faq, which plausibly overlap on 'what Snagcast does' and refund questions. The agent must infer from the description alone that pricing/plans is the distinguishing scope.
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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