usage_me_timeseries

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

No annotations provided, so description carries full burden. Mentions JWT-authenticated and credit consumption buckets and UTC timezone, but does not disclose potential rate limits, data retention, authentication requirements, or return format. Incomplete for a tool with no 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?

Description is concise with two sentences, front-loads the purpose, and avoids redundancy. Could mention return structure briefly, but overall efficient.

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?

No output schema exists; description only vaguely mentions 'returns ... buckets' without detailing response shape, pagination, or error handling. For a tool with 5 optional parameters, more context on data volume and defaults is needed.

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 coverage is 100% (all 5 parameters described). Description adds no further meaning beyond the schema; it only states the purpose. Baseline 3 is appropriate since schema already documents parameters.

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?

Clearly states it gets current user's usage timeseries, specifies it returns JWT-authenticated request and credit consumption buckets for chart rendering, and notes UTC bucketing. Differentiates from sibling tools like usage_me_overview and usage_me_endpoints.

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?

Implies use for chart rendering and time-based analysis but provides no explicit guidance on when to use versus siblings or conditions to avoid. Context from sibling names (overview, endpoints, recent_ips) helps, but description lacks directives.

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