save_analysis_result

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

No annotations are provided, so the description must fully disclose behavior. It mentions return values (file path or error) but does not detail overwrite policy, file location, permissions, or size limits. Adequate but not comprehensive.

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 brief, front-loaded with purpose, and uses a clean bullet-style for parameters. No superfluous information.

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 no annotations and presence of an output schema, the description adequately explains saving behavior and return values. Some gaps like overwrite behavior exist but are minor for a local file save tool.

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 0%, so the description must compensate. It explains data_json as JSON string to save and filename as optional with auto-generation, adding meaning beyond the schema. The default for filename is also noted.

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 verb 'backup' (백업한다) and the resource 'analysis result to local JSON file'. It distinguishes itself from siblings like create_notion_page or list_analysis_history by specifying local storage and backup purpose.

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?

Explicit use cases are given: retry when Notion upload fails, or archive analysis history. This tells when to use the tool and implies alternatives are Notion-related operations.

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