get_account_usage
Current plan, period usage (links created, clicks, API requests), and plan limits for the authenticated account.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Current plan, period usage (links created, clicks, API requests), and plan limits for the authenticated account.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden for behavioral disclosure. It only lists what is returned, lacking details on side effects, authentication requirements, rate limits, or whether it is read-only. Given zero annotations, this is insufficient.
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 that efficiently lists the key output categories. No wasted words, front-loaded with key information.
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 0-parameter tool with no output schema and no annotations, the description is minimal. It does not mention authentication or response format explicitly, though the tool name implies 'authenticated'. It is adequate but could add behavioral context to be fully complete.
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 no parameters, and schema coverage is 100%. The description adds no parameter info beyond what the schema provides, which is expected. Baseline for 0 params is 4.
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 returns current plan, period usage (links created, clicks, API requests), and plan limits for the authenticated account. It is a specific verb+resource combo, and distinguishes from sibling tools that focus on link management.
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 implies when to use (check plan and usage) but does not provide explicit when-not or alternatives. However, sibling tools are all link-centric, reducing confusion. No prerequisites mentioned, but the tool name implies authentication.
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 targets a distinct operation (create, delete, update, list, etc.) on specific resources (links, folders, tags, analytics). No two tools have overlapping purposes.
All tool names follow a consistent verb_noun pattern using snake_case, such as create_link, list_folders, and get_link_analytics. No deviations or mixed styles.
With 12 tools, the server covers the essential operations for a URL shortener (CRUD, analytics, QR codes, folders, tags) without being bloated or incomplete.
The tool set provides full lifecycle management for short links (create, read, update, delete, enable/disable), plus analytics, folders, tags, QR generation, and account usage. No obvious gaps.