group_capture_analysis

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 and successfully communicates the token efficiency trait ('lower token cost'). However, it fails to disclose safety characteristics (e.g., whether read-only), performance limits, or what constitutes a 'hot spot' in this context.

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 consists of a single 12-word sentence that is efficiently worded without redundancy. However, for a tool with 25 parameters and complex filtering capabilities, this length is inappropriately brief and fails to front-load critical parameter guidance.

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 the high complexity (25 parameters, 0% schema coverage) and presence of an output schema, the description remains inadequate as it omits all parameter semantics and operational constraints. The mention of 'hot spots' and token cost provides minimal context for the extensive filtering capabilities available.

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 input schema contains 25 parameters with 0% description coverage, yet the description mentions none of them, not even the required `source` or `group_by` fields. The single sentence provides no syntax guidance, filtering examples, or explanations for complex parameters like `request_json_query` or `resource_class_in`.

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 'Group[s] analyzed traffic' and specifies the benefit of 'lower token cost' for inspecting 'hot spots.' While it effectively conveys the aggregation purpose, it does not explicitly differentiate from sibling tools like `analyze_recorded_traffic` or `get_traffic_entry_detail` beyond the efficiency hint.

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 usage context by mentioning 'inspect hot spots' and emphasizes the 'lower token cost' benefit, suggesting when to choose this over detailed analysis tools. However, it lacks explicit when-not-to-use guidance or named alternatives among the 17 sibling tools.

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