axiorank_get_usageReport this billing period's usage for your workspace: plan tier, governed events used vs the monthly limit, and ML assessments used. Requires the logs:read scope.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds value by specifying the required scope and listing the data returned, which is not in the annotations.
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 concise sentence that front-loads the purpose and lists outputs efficiently. Every part is informative without redundancy.
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?
Given no parameters and no output schema, the description covers what the tool returns and a required scope. It could be slightly more complete by noting the response format, but overall adequate for a simple tool.
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, so the description does not need to add parameter details. The baseline for 0 parameters 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 reports billing usage including plan tier, events used vs limit, and ML assessments. It provides a specific verb ('report') and resource ('usage for your workspace'), but does not explicitly differentiate from sibling tools like axiorank_get_health.
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 notes the required scope ('logs:read') and implies usage for viewing billing info, but does not explicitly state when to use it versus alternatives (e.g., other read-only tools) or when not to use it.
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 has a clearly distinct purpose, covering different aspects of agent, policy, incident, and threat management with no overlap. Tools like axiorank_list_agents and axiorank_get_agent are differentiated by list vs. get, and quarantine vs. revoke serve different use cases.
All tools follow a consistent 'axiorank_verb_noun' pattern in snake_case, making it easy to predict tool names based on action and resource. No mixing of conventions or abbreviations.
With 22 tools, the server covers a comprehensive security governance domain. While slightly above the typical 'well-scoped' range, each tool serves a specific function and the count is justified by the breadth of features (agents, policies, incidents, scoring, verification, audit).
The tool surface covers agent and policy lifecycle (CRUD except delete), incident querying, scoring, verification, and audit. Minor gaps include missing delete operations for policies and incidents, and no way to update incident status. However, the core workflows are well-supported.