generate_full_map

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

No annotations are provided, so the description carries the full behavioral burden. It does disclose that output_dir is created if missing ('없으면 생성'), which is useful. However, it never says whether existing .adofai files are overwritten, how long the generation takes, whether it needs network/GPU, or what the success output looks like — significant gaps for a heavyweight generation tool.

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 headline sentence is front-loaded and the Args block is a tight per-parameter list with no filler. Structure is easy to scan, though the header line's marketing adjectives ('인간미 넘치는 유튜브급') spend a little space without adding selection value.

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?

For a 9-parameter generation tool with no annotations and no output schema, the description covers the inputs well but leaves behavioral essentials unaddressed: overwrite behavior, runtime/cost, and when to prefer this over the analyze/add_multipress/adjust_effects pipeline. Adequate for calling it, thin for calling it correctly.

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% and there are 9 parameters, so the description must compensate — and it largely does, defining every argument including meaningful semantics the schema lacks: difficulty bands (입문 1~3 … 고수 9~10), the style presets (showcase/clean/party), and the focus modes (balanced/melody/beat). Only minor gaps remain (e.g. seed behavior beyond '다양성 시드', allowed style/focus values not exhaustive).

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?

States a specific verb (생성/generate) and resource (풀맵/full map) and flags the one-shot nature with '(원샷)', which hints at how it differs from the granular siblings like add_multipress and adjust_effects. It stops short of explicitly naming those siblings as alternatives, so an agent must infer the routing.

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?

There is no when-to-use or when-not-to-use guidance. The only routing signal is '(원샷)', implying it bundles what the sibling tools do piecewise, but no condition, prerequisite, or alternative tool is named. An agent gets no explicit rule for choosing this over the pipeline of siblings.

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