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

No annotations are provided, so the description carries the full burden, and it discloses almost nothing: no statement of read-only safety (only implied by 'search'), no result format, no pagination or rate-limit behavior, and no indication of what a hit contains. The snapshot-count detail is the only real context added.

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?

It is a single front-loaded phrase with no wasted words, but the brevity comes from under-specification rather than tight writing. A sentence or two more on query fields and result shape would earn 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?

With no annotations, no output schema, no parameter descriptions, and three parameters including an ambiguously typed 'limit', the definition is not complete enough for confident invocation. The agent cannot predict the response shape or how to page through 26,249 records.

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 all three parameters (q, limit, prefecture) are bare, yet the description compensates for none of them. 'limit' is typed as a string with no format hint, and 'prefecture' gets no indication of accepted values or language, which is a real risk given the Japanese dataset.

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 names a specific verb and resource (search over the gBizINFO corporate registry snapshot) and even quantifies the corpus at 26,249 corporations, so the agent knows what data is behind the tool. However it never says which fields 'q' matches (company name, corporate number, address?) or how this differs from siblings like jp_chains or jp_municipality, so differentiation is left to inference.

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 guidance, no exclusions, and no mention of the alternative tools in the sibling list. The agent must guess whether corporate lookups belong here rather than in jp_chains or jp_quality.

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