get_usage
Return the current credit balance for this API key.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Return the current credit balance for this API key.
| 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?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the agent knows it is a safe read. The description adds scope context ('for this API key') but does not disclose response format or any additional behavioral traits. The bar is lower with annotations, and this adequately aligns.
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, focused sentence with no wasted words. It delivers the essential information immediately and is appropriately sized for a simple tool.
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 no-parameter, read-only tool with strong annotations, the description is sufficient. It clearly states the purpose and scope, though the return value format is not explicitly described. Given the simplicity, this is acceptable but could mention output format for full completeness.
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 input schema has zero parameters, so the baseline is 4. The description adds meaningful context that the API key is the implicit authentication context, which is useful. No parameters need further explanation.
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 verb 'Return' with a specific resource 'current credit balance' and scope 'for this API key'. This distinguishes it from sibling tools focused on job results, status, and submission.
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?
No explicit when-to-use guidance or alternative comparisons are provided. The usage is implied by the description's clarity, but there is no mention of exclusions or relation to sibling tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool has a clearly distinct purpose: submitting URLs, checking job status, fetching results, and retrieving credit balance. No overlap or ambiguity.
All tools follow a consistent verb_noun pattern in snake_case (e.g., get_job_status, submit_urls), making them predictable and easy to understand.
With 4 tools, the server is well-scoped for its purpose. Each tool serves a necessary function without redundancy or unnecessary complexity.
The tool set covers the full lifecycle: submission, status polling, result retrieval, and usage tracking. No obvious gaps for a bulk URL checker.