get_pricing
Get APKBuild pricing/credit model for Android app builds and AI voice generation so you can tell a user what it costs.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Get APKBuild pricing/credit model for Android app builds and AI voice generation so you can tell a user what it costs.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden, and 'Get' does imply a read-only lookup. However, it does not state whether any side effects exist, what kind of data is returned, or how the credit model behaves. For a simple no-parameter lookup this is acceptable but not rich.
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?
The description is a single sentence, front-loads the key action and resource, and adds only a brief user-facing purpose. There is no wasted text.
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 lookup tool with a single sibling, the description provides enough context: what the tool retrieves, its scope, and how an agent would use the result. No additional parameters or complex behaviors need explanation.
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?
There are zero parameters and schema coverage is 100%, so the schema leaves no ambiguity. The description adds useful context about the domain (APKBuild pricing/credit for Android builds and AI voice generation) beyond the empty parameter list, meeting the baseline for a param-free tool.
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 clearly states a specific action ('Get') and resource ('APKBuild pricing/credit model'), and even scopes it to Android app builds and AI voice generation. It does not explicitly contrast with the sibling get_services, so it doesn't fully earn a 5, but the purpose is unambiguous.
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?
The phrase 'so you can tell a user what it costs' implies the tool is for pricing/credit questions, but there is no explicit guidance on when to choose this tool instead of get_services. The usage context is clear but the alternative is not addressed.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.