generateDocumentChecklist

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

With no annotations provided, the description carries full burden for behavioral disclosure. While it describes the core function, it lacks critical behavioral details: what format the checklist output takes, whether this is a read-only analysis or creates persistent data, error handling for malformed input, or any rate limits. For a tool with 4 parameters and no output schema, this leaves significant gaps in understanding how the tool behaves.

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, efficient Korean sentence that front-loads the core purpose. Every element serves a purpose: identifies the task, source material, and output attributes. While concise, it could potentially benefit from slightly more structure for non-Korean readers, but within the Korean context it's well-formed and waste-free.

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 tool's complexity (document extraction and checklist generation with 4 parameters), no annotations, and no output schema, the description is minimally adequate but incomplete. It covers the what but not the how or what results to expect. For a tool that presumably returns structured checklist data, the absence of output information is a significant gap, though the purpose is clearly stated.

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%, providing good parameter documentation. The description adds marginal value by contextualizing the parameters as coming from '공고 텍스트' (announcement text), but doesn't provide additional semantics beyond what's in the schema. It doesn't explain relationships between parameters or provide usage examples. Baseline 3 is appropriate given the comprehensive schema coverage.

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 purpose: extracting required documents from announcement text and generating a checklist with specific attributes (issuing authority, processing time, collection deadline). It uses specific verbs ('추출하다' - extract, '생성하다' - generate) and identifies the resource (documents from announcements). However, it doesn't explicitly differentiate from sibling tools that might also process announcement data.

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 implies usage context by mentioning '공고 텍스트' (announcement text) and document preparation, suggesting it's for processing government/business announcements. However, it provides no explicit guidance on when to use this tool versus alternatives like 'checkEligibility' or 'searchGovernmentSupport', nor does it mention any prerequisites or exclusions.

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