update_pickup_store

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

With no annotations present, the description fully carries the transparency burden. It marks the tool as [WRITE], lists side effects (immediate effect, irreversible but overwritable), and describes the return structure, providing comprehensive behavioral disclosure.

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 concise, structured into labeled sections (purpose, usage, API, return, side effects), and every sentence serves a purpose. It is front-loaded with the [WRITE] tag and core action.

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?

The explanation covers purpose, effects, and return format, which is sufficient for a tool with 2 parameters and no prerequisites. It omits error handling and assumptions but remains largely complete for agent invocation.

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 coverage is 100% already, but the description adds value by explaining that pickup_store_data includes fields like store_name, address, phone, and business_hours, giving context beyond the schema's generic 'object' type.

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 explicitly states it updates pickup store information for a delivery option, using the verb 'update' and specifying the resource '自取門市資訊' (pickup store info). No sibling tool has a similar purpose, making it uniquely identifiable.

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 indicates it is suitable when store information changes and syncs with Shopline settings. However, it does not specify when not to use this tool or suggest alternatives, leaving the agent without exclusion criteria.

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