ecount_create_clock_in_out

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

With no annotations, the description carries the transparency burden. It discloses rate limits (10 sec/1 request), required formats, and response structure (success/failed counts, details). However, it misses important behavioral aspects like permission requirements, duplicate handling, or side effects, leaving some uncertainty about the tool's full behavior.

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 and well-structured: a single main sentence with purpose, followed by brackets for rate limit and response. Every piece of information earns its place, providing high information density without bloat.

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 batch create tool with no output schema, the description covers required fields, datetime format, optional flags, rate limiting, and response shape. It omits batch size limits and doesn't address the schema's internal inconsistency where some fields are marked '필수' but not in the required list, but overall it is adequately complete.

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%, providing descriptions for all fields. The description adds the datetime format and clarifies which fields are required, which is useful but largely redundant with the schema. It does not significantly deepen understanding beyond the structured definitions.

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's function: registering employee clock-in/out times in ECOUNT. It uses specific verbs (등록/registers) and identifies the resource (attendance records), distinguishing it from sibling tools focused on products, customers, sales, etc.

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 provides clear context for when to use the tool (to input attendance records) and specifies required fields and format. It does not explicitly mention alternatives or exclusions, but the sibling domain differences make the intended use obvious.

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