Get customer usage
get_customer_usageA customer's messages, verifications and spend for a period.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Customer id | |
| end | No | Default: today | |
| start | No | Default: first day of this month |
get_customer_usageA customer's messages, verifications and spend for a period.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Customer id | |
| end | No | Default: today | |
| start | No | Default: first day of this month |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered. The description adds no behavioral context of its own — nothing on aggregation granularity, pagination, or whether the period bounds are inclusive.
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 short sentence with no filler, leading with the returned content. Its brevity is closer to under-specification than to padding, but nothing is wasted.
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?
With no output schema, the description carries the burden of explaining what is returned; "messages, verifications and spend" does not say whether these are counts, timeseries, or aggregates. For a three-parameter reporting tool this leaves a meaningful 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?
Schema description coverage is 100%, including the defaults for start (first day of this month) and end (today), so the schema does the heavy lifting. The phrase "for a period" loosely ties to start/end but adds no semantics beyond what the schema states.
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 fragment names the resource contents precisely ("messages, verifications and spend for a period") but omits a verb and any differentiation from close siblings such as get_usage, get_customer or get_spend_limit. An agent can infer it is a per-customer aggregate read, but cannot be sure from the text alone which usage tool to pick.
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?
There is no when-to-use guidance, no exclusions, and no mention of the account-level get_usage or get_spend_limit alternatives. The agent must fall back on tool names to disambiguate.
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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