get_revenue
Get revenue summary and payout history
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| api_key | Yes | Operator API key |
Get revenue summary and payout history
| Name | Required | Description | Default |
|---|---|---|---|
| api_key | Yes | Operator API key |
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?
No annotations are provided, and the description does not disclose any side effects, permissions, or potential limitations. As a read operation, it is likely safe, but this is not explicitly stated.
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 extremely concise and to the point, with no unnecessary words or redundancy.
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?
The description lacks any information about return format, error handling, or rate limits. For a simple getter, this may be acceptable, but it is incomplete without annotations.
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 single parameter api_key is already described in the schema with 'Operator API key'. The description adds no additional meaning, so the schema coverage is adequate.
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 the tool's function: retrieving revenue summary and payout history. This distinguishes it from sibling tools like get_server and get_usage.
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 description does not explicitly state when to use this tool over alternatives, but the purpose is clear enough that it is implied for revenue-related queries.
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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