get_reading_quantity

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

There are no annotations, so the description carries the full burden of behavioral disclosure. It only says that regional reading volume/rate is queried, without addressing optional parameters, default behavior, output format, or filtering semantics.

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 clear sentence with no filler and front-loads the key subject. It is concise without being wasteful, though slightly too terse to fully carry the tool's context.

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 a simple read operation and 100% parameter documentation, the description is minimally sufficient for basic invocation. However, it lacks clarity on optional-filter behavior, output expectations, and when to prefer this tool over its siblings.

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 description coverage is 100%, so parameters are already documented in the input schema. The description adds only the regional scope and provides no additional meaning about year, month, or detailed-region filtering behavior.

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 concrete subject—regional reading quantity/rate—and a clear query action ('조회합니다'). However, the verb is generic and it does not explicitly differentiate this tool from similar analysis siblings like get_usage_trend or get_book_usage_analysis.

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?

No guidance is given on when to use this tool versus alternatives. Despite a large sibling-tool list with several analytically similar tools, no exclusions or preferred-use conditions are mentioned.

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