get_recent_alio_revisions

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

No annotations provided, so description carries full burden. It adds filtering and ordering info but does not disclose output format, permissions, or side effects. 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?

Two sentences with front-loaded purpose, filter support, and usage example. No unnecessary words; every clause earns its place.

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?

Lacks output description or return format; no output schema. For a tool with 4 parameters and no annotations, description should hint at what the timeline contains (e.g., regulation IDs, titles). Partially 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% with descriptions. Description adds ordering info (날짜 역순) and confirms filters, providing marginal extra value beyond schema.

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?

Description clearly states it retrieves a timeline of regulations revised within recent N days, sorted descending, with topic and institution filters. This verb+resource+scope distinguishes it from siblings like get_alio_regulation_history (full history) and list_alio_regulations (all regulations).

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?

Gives specific context: monitoring changes with example query. However, lacks explicit when-to-use vs alternatives or exclusions. Still clear enough for an agent to infer use case.

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