get_creditor_management

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. However, the description is purely abstract and doesn't reveal any behavioral traits—it doesn't indicate whether this is a read or write operation, what data it returns, error conditions, rate limits, authentication needs, or side effects. It fails to provide actionable information about how the tool behaves when invoked.

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, dense sentence in Korean that packs abstract concepts but lacks clarity. While concise in length, it's not effectively structured—it doesn't front-load key information or break down ideas for readability. The sentence attempts to convey purpose but does so inefficiently, making it harder to parse than a more direct statement would be.

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 complexity implied by the tool name and abstract description, along with no annotations and no output schema, the description is insufficiently complete. It doesn't explain what data is returned, how results are formatted, or the tool's operational behavior. For a tool with three required parameters and likely returning structured data, more context is needed to guide effective use, especially without annotations to fill gaps.

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 input schema has 100% description coverage, with clear documentation for each parameter (corp_code, bgn_de, end_de). The description adds no parameter-specific information beyond what the schema provides, such as explaining how these parameters relate to the tool's purpose. Since schema coverage is high, the baseline score of 3 is appropriate, as the description doesn't compensate but also doesn't detract from the schema's completeness.

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 '채권자 관리절차 개시를 통한 기업의 구조조정 진행 및 유동성 위기 분석' translates to 'Analysis of corporate restructuring progress and liquidity crisis through initiation of creditor management procedures.' This is vague and abstract rather than specifying a concrete action like 'retrieve creditor management initiation data.' It doesn't clearly state what the tool actually does operationally, and while it hints at analysis, it doesn't distinguish this tool from its sibling 'get_creditor_management_termination' in terms of function.

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 no guidance on when to use this tool versus alternatives. It doesn't mention the sibling tool 'get_creditor_management_termination' or any other related tools, nor does it specify prerequisites, appropriate contexts, or exclusions. Users are left to infer usage from the abstract description alone.

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