Compare traffic time series

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering safety. The description adds that it returns 'aligned buckets', which is minimal. It does not contradict annotations, but it does not enrich behavioral context (e.g., no mention of rate limits, data freshness, or handling of missing data).

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 sentence with no filler, immediately stating the action and purpose. It is efficiently front-loaded and every phrase contributes meaning.

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?

Despite having an output schema (so return value details are covered) and moderate schema coverage, the tool is highly complex (10 parameters, nested filters, multiple enums). The description only provides a high-level purpose and lacks details on alignment semantics, bucket granularity, comparison modes, or how filters apply to both periods. This is insufficient for reliable agent selection.

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 50% (5 of 10 parameters have descriptions in the schema). The tool description does not add any parameter-specific information beyond the schema. It does not explain the meaning of 'current' vs 'comparison' periods or how filters interact. Baseline 3 due to moderate coverage, but description should have compensated more.

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 ('Return') and resource ('aligned current and comparison traffic buckets'), and states the outcome ('to locate the exact day or hour when traffic changed'). It clearly distinguishes itself from siblings like 'explain_traffic_change' and 'get_metrics' by focusing on pinpointing the timing of changes through comparison.

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 implies the tool is for comparing traffic time series to find change timing, but it does not provide explicit guidance on when to use it versus alternatives or when not to use it. For example, no mention of comparison modes (previous, year_over_year, custom) or when each is appropriate.

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