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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so safety is covered. The description adds the endpoint and enumerates the returned fields, which is modestly useful, but says nothing about pagination behavior or total counts. With annotations carrying the behavioral profile, a 3 is appropriate.

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?

Two short sentences plus an endpoint reference, with the core purpose front-loaded. Every clause adds either scope, return content, or usage intent, with zero waste.

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?

No output schema exists, but the description compensates by listing the returned fields, and pagination is fully described in the schema. It is nearly complete; only minor aspects like ordering or total-count behavior are unstated.

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%, and the page_size and current_item parameters are documented well in the schema, including the 'pass next_item' convention. The description adds no parameter detail, so baseline 3 applies.

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 states a specific verb (List) and resource (shop's branches), enumerates the key return fields (id, name, code, phone, address), and includes the underlying endpoint. Combined with the get_* vs list_* sibling naming, an agent can distinguish this from kiotviet_get_* and other list tools without opening the schema.

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 sentence 'Use the ids to filter other tools' gives a clear motivating context for calling this tool before others. It stops short of naming specific alternatives or when-not conditions, but the usage intent is unambiguous.

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