get_usage_metrics
Retrieve today’s observed Jack and roast usage with the authenticated account’s tier limits.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve today’s observed Jack and roast usage with the authenticated account’s tier limits.
| 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, idempotentHint=true, openWorldHint=false and destructiveHint=false, so the safety profile is fully covered. The description adds genuine behavioral context beyond that: the data is scoped to 'today' and the response pairs observed usage with the account's tier limits, telling the agent what kind of information comes back.
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 sentence with no filler, and the scope ('today's') and the return content ('tier limits') are both front-loaded rather than buried. Nothing in the sentence is redundant with the name.
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 no output schema, the description carries the burden of describing the return value, and it does so at a high level (observed usage plus tier limits). It stops short of specifying units, reset windows, or the shape of the tier-limit comparison, which would be the remaining gap.
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 and the baseline of 4 applies. No parameter-level meaning is missing.
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 ('Retrieve') and names both the resource ('Jack and roast usage') and the accompanying tier limits, plus the time window ('today'). It is clear what the tool returns, though it doesn't explicitly distinguish itself from siblings (none of which are usage-related, so the distinction is implicit rather than stated).
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 resource itself – an agent would call this to check consumption against quota – but there is no explicit when-to-use statement, no mention of call frequency, and no named alternative. Adequate but leaves the agent to infer the trigger condition.
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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