get_treasury_stock_acquisition

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

No annotations are provided, so the description must fully disclose behavioral traits. However, it only mentions analysis of strategies and possibilities, which doesn't clarify whether this is a read-only data retrieval tool, a computational analysis, or something else. It fails to describe what the tool returns (e.g., raw data, analysis results), any side effects, or operational constraints like rate limits or authentication needs.

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 sentence but is overly verbose and abstract, using complex terms like '주가 방어 전략' (stock price defense strategy) without getting to the point. It fails to front-load the core function, making it inefficient for quick understanding. While not lengthy, it lacks structural clarity and wastes space on vague analytical goals instead of stating the tool's 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?

Given the complexity implied by the description (analysis of strategies and possibilities), no annotations, and no output schema, the description is highly incomplete. It doesn't explain what the tool returns, how the analysis is performed, or any behavioral aspects. For a tool with three parameters and analytical claims, this leaves critical gaps in understanding its functionality and output.

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 parameter descriptions (e.g., '고유번호 (8자리)' for corp_code). The tool description adds no additional information about parameters, such as their role in the analysis or format specifics beyond the schema. Since schema coverage is high, the baseline score of 3 is appropriate, as the description doesn't compensate but also doesn't detract.

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 '자기주식 취득 결정을 통한 주가 방어 전략 및 경영권 방어 가능성 분석' (Analysis of stock price defense strategy and management control defense possibility through treasury stock acquisition decisions) is vague about what the tool actually does. It describes an analytical purpose rather than specifying the action (e.g., 'retrieve data about treasury stock acquisitions'). It doesn't clearly state whether this tool fetches, lists, or analyzes data, making it difficult to distinguish from sibling tools like 'get_treasury_stock' or 'get_treasury_stock_disposal'.

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 any prerequisites, context for usage, or comparisons to sibling tools (e.g., how it differs from 'get_treasury_stock' or 'get_treasury_stock_disposal'). This leaves the agent with no information to make an informed selection among similar tools.

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