usage_tracker

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

Annotations are absent, so the description must carry the full behavioral disclosure burden, but 'Set up' only implies resource creation and does not say whether it generates code, writes config, or provisions infrastructure, nor what side effects exist. Auth is only implied by the api_key parameter, and the 'real-time' claim is never tied to the flush_interval_seconds behavior, leaving durability and aggregation semantics opaque.

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, front-loaded sentence with the verb and resource up front and no filler or repetition. Every word earns its place, and the metric-type list is the most information-dense part of the entire definition.

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 setup action with four parameters, no annotations, and no output schema, key operational facts are missing: what the setup actually produces, where metrics are stored, how the flush interval affects the 'real-time' claim, and what the tool returns. An agent must infer too much to invoke it correctly and confidently.

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 only 25% (only api_key has a description), so the description must compensate. It does add meaning for the required metrics parameter by naming the three permitted types, but storage backends (redis/postgres/dynamodb) and flush_interval_seconds remain semantically unexplained both in the schema and the description.

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 a specific verb ('Set up') and a named resource ('real-time usage tracking system'), and naming counters, gauges, and histograms maps directly to the metrics type enum, making the core action concrete. It is distinguishable from domain siblings like usage_quota_enforcer and usage_dashboard_data by that metric-type detail, though it never names them explicitly.

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 statement of when to use this tool versus alternatives, and no exclusions or prerequisites are given. With several same-domain siblings (usage_quota_enforcer, usage_dashboard_data, exp_setup_tracking), an agent is given no decision cue beyond the tool name itself and the vague 'real-time' framing.

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