organization_billing_usage

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It does disclose that the tool retrieves data (implying read-only) and describes the return format ('usage metrics and billing information'), but doesn't mention authentication requirements, rate limits, error conditions, or whether the data is real-time vs cached. It adds some behavioral context but leaves significant gaps.

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 well-structured with a clear purpose statement, bullet points for use cases, and separate sections for arguments and returns. It's appropriately sized at 7 sentences with no wasted words. The front-loaded purpose statement is effective, though the bullet points could be integrated more seamlessly.

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 tool with 4 parameters (3 required), no annotations, and no output schema, the description does a reasonable job. It covers the purpose, parameters, and return format adequately. However, it lacks information about authentication, error handling, rate limits, and specific data format of the returned metrics. Given the complexity of billing/usage data, more detail would be beneficial.

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 description provides excellent parameter semantics despite 0% schema description coverage. It clearly explains all three required parameters: start_time and end_time as UTC ISO 8601 timestamps defining the period, and aggregate_type with its allowed values ('hour', 'day', 'month'). This fully compensates for the lack of schema descriptions and adds meaningful context beyond basic type information.

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's purpose: 'Retrieve detailed billing and usage metrics for your organization over a specified time period.' It specifies the resource (organization billing/usage metrics) and the action (retrieve). However, it doesn't explicitly differentiate from sibling tools like 'organization_info' or 'workspaces_info' which might also provide organizational data.

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 provides implied usage context by stating the tool is 'essential for monitoring resource consumption patterns and analyzing cost trends.' However, it doesn't explicitly state when to use this tool versus alternatives like 'organization_info' or provide clear exclusions. The guidance is helpful but not comprehensive.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.