get_usage
Retrieve monthly scoring call usage via GET /v1/usage
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| month | No | Optional billing month in YYYY-MM format. |
Retrieve monthly scoring call usage via GET /v1/usage
| Name | Required | Description | Default |
|---|---|---|---|
| month | No | Optional billing month in YYYY-MM format. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and idempotentHint=true, so the tool's safety profile is known. The description adds the HTTP method and endpoint, but does not go beyond that to explain behaviors like what happens if 'month' is omitted or what the response contains.
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 that is front-loaded with the action and resource, followed by the endpoint. Zero wasted words or unnecessary detail.
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 tool with one optional parameter, the schema and annotations cover most needs. However, the description does not specify the default behavior when 'month' is omitted, leaving a minor gap in completeness.
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 input schema has 100% description coverage, with the 'month' parameter described as 'Optional billing month in YYYY-MM format.' The tool description does not add any additional parameter semantics, so it provides no extra value beyond the schema.
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 the specific verb 'Retrieve' and names the resource 'monthly scoring call usage', along with the explicit HTTP method and endpoint (GET /v1/usage). This clearly distinguishes it from sibling tools like get_limits or get_workflow_schema.
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 phrase 'monthly scoring call usage' provides clear context for when to use the tool, implying it is for retrieving usage metrics by month. No explicit exclusions or alternatives are mentioned, but the context is sufficient.
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 concern: account limits, usage, workflow schema, workflow list, single scoring, batch scoring, feedback, and payload validation. The only potential overlap (score_workflow vs score_batch) is clearly delineated by batch versus single operation.
All tool names follow a consistent verb_noun pattern with underscore separation (get_*, list_*, score_*, submit_*, validate_*). The naming convention is uniform and predictable.
With 8 tools, the server is well-scoped for a scoring API, covering account management, workflow discovery, scoring, validation, and feedback without unnecessary redundancy.
The tool set provides full lifecycle coverage for the domain: discovering workflows, fetching schemas, validating payloads, scoring (single or batch), checking account limits/usage, and submitting feedback. No obvious gaps exist.