Get DOCX.now API usage
get_api_usageReturn the caller's DOCX.now API credits, usage, and rate limit.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_api_usageReturn the caller's DOCX.now API credits, usage, and rate limit.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
| 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 and openWorldHint=true, so the safety profile is covered. The description adds that results are scoped to 'the caller', which is meaningful behavior, but it says nothing about how rate-limit/credit values are represented or whether the data is live or cached. With an output schema present, return structure needn't be explained, so a 3 is appropriate.
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 front-loaded sentence with no filler; every word contributes (verb, scope, three returned data classes). Nothing to trim.
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-argument read tool with annotations covering safety and an output schema covering the return shape, the description contains everything needed to invoke it correctly. The only shortfall is the absence of explicit guidance on when to call it relative to the conversion 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, so there is nothing for the description to disambiguate; the baseline for a parameterless tool applies. The 'caller's' wording usefully signals implicit scoping from the auth context rather than a parameter.
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?
States a specific verb ('Return') and concrete resources ('API credits, usage, and rate limit'), so an agent knows exactly what it gets back. It never mentions the conversion siblings, but the subject matter is so clearly disjoint (account usage vs. document conversion) that confusion is unlikely.
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?
Usage is implied by the payload: an agent should call this to check quota or rate limits before or after conversions. There is no explicit when-to-use statement, no mention of when it is unnecessary, and no reference to alternatives.
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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