hub__check_tokens
Check current token usage and get recommendations for optimizing consumption.
Instructions
Check current token usage and get recommendations
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Check current token usage and get recommendations for optimizing consumption.
Check current token usage and get recommendations
| 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 the full burden of behavioral disclosure. It reveals the tool 'gets recommendations' which implies read-only behavior, but doesn't state whether this is a safe read operation, what the recommendations are based on, or any limits. For a zero-parameter read tool, the risk is low, so a moderate score is fair.
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 sentence with no wasted words. Every word earns its place, and it's appropriately sized for such 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 zero-parameter tool with no output schema, the description is minimal but adequate. It communicates the primary function (checking token usage) and the value-add (recommendations). However, it doesn't clarify what form the token usage takes, what the recommendations are about, or what the return format looks like, which could leave an agent slightly uncertain about interpreting the result.
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 0 parameters and 100% schema coverage, there is nothing for the description to document. The baseline for 0 params is 4, and there are no parameters requiring semantic explanation. This is appropriately handled.
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 uses a specific verb (check) and resource (token usage) to state what the tool does. It clearly communicates the function of checking current token usage, though it doesn't explicitly distinguish from sibling tools like get_analytics, but the purpose is reasonably clear.
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 when-to-use guidance is provided. The description doesn't say when to use this vs get_analytics or route_task, nor does it mention any prerequisites or exclusions. The tool has zero parameters so it's inherently simple, but the context of when to check tokens versus other tools is unexplored.
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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