get_customer_geo_analysis

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

With no annotations, the description carries full burden. It adds useful context that the analysis is based on order shipping addresses at the city/county level, but it does not disclose output format, aggregation method, or read-only nature. This is minimal but adequate for a simple 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 a single concise sentence that immediately states the tool's purpose and key scope. There is no redundancy or irrelevant detail.

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 simple structure (3 parameters, no nested objects) and clear purpose, the description is mostly complete. However, without an output schema, it could more explicitly state what the returned distribution contains (e.g., order counts, customer counts, percentages). The term 'distribution' implies a breakdown, which is sufficient for this minimal 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 fully describes all three parameters (start_date, end_date, channel) with descriptions and enum values, so the description doesn't need to add parameter-specific detail. It still sets context by explaining the analysis is based on shipping addresses, but adds no syntax or format information beyond the 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 specifies the action ('analyze'), the subject ('customer regional distribution'), the data source ('order shipping address'), and the granularity ('city/county level'). This distinguishes it from sibling tools like get_rfm_analysis, making the tool's purpose immediately clear.

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 when to use the tool (when geographic customer distribution by shipping address is needed) but provides no explicit guidance on alternatives or exclusions. It doesn't mention, for example, that it only covers orders with valid shipping addresses.

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