get_install_patterns

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

With no annotations provided, the description carries the responsibility for behavioral disclosure. It explicitly describes the return format (JSON string with specific fields), which goes beyond the basic 'analyze' verb. While it doesn't discuss rate limits or authentication, the read-only analytical nature is implied. This level of detail is commendable for a non-mutating analytics tool.

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 compact: a one-sentence summary followed by concise args and returns sections. It avoids verbosity and front-loads the core purpose. Every sentence contributes essential information.

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 simple one-parameter tool, the description covers the input semantics and explicitly lists the output fields included in the JSON string. The presence of an output schema reduces the need to explain return structures in detail, but the description still provides a useful overview. No major gaps exist for a read-only analytics tool.

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 schema only provides the parameter name and type, with 0% coverage. The description compensates by specifying the accepted format ('App GID or numeric ID') and marks it as required. This adds meaningful semantic value beyond the structural schema.

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 analyzes install patterns and specifies the dimensions (day of week, time of month). It uses a specific verb and resource, and the scope of analysis is apparent. This distinguishes it from sibling analytics tools like get_app_events or get_revenue_summary.

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 context is clear: use this tool to fetch install pattern analytics for a specific app. It does not explicitly name alternatives or exclusions, but the detailed focus on install patterns makes the intended use apparent. No misleading guidance is present.

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