get_account_status
Retrieve your API plan, usage, and rate-limit state to monitor quota and avoid request failures.
Instructions
Your API plan, usage and rate-limit state.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve your API plan, usage, and rate-limit state to monitor quota and avoid request failures.
Your API plan, usage and rate-limit state.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
v0.3.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds a small amount of value by naming the returned aspects (plan, usage, rate-limit state), but it does not disclose response format, pagination, or any operational caveats.
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 compact phrase with no filler, redundancies, or unnecessary words. It front-loads the key returned concepts immediately and earns every word.
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 simple, read-only, parameterless status endpoint, the high-level return description is largely sufficient. It could have added a use case such as 'check before making API calls' or an exact field list, but the low complexity keeps the missing details minor.
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?
With zero parameters, the input schema is trivially complete and the description cannot add parameter-level detail. The rubric baseline for a 0-parameter tool is 4, and this description appropriately makes no parameter claims beyond what the schema covers.
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 identifies the resource clearly — API plan, usage, and rate-limit state — which is a specific scope distinct from the data-fetching sibling tools. It lacks an explicit verb, reading as a noun phrase rather than 'returns' or 'retrieves', but the intent 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 description provides no guidance on when to use this tool, no prerequisites, and no comparison to alternative tools. It merely states what the endpoint reports; any usage context must be inferred from the tool name and sibling list.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.