knowledge

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. 'Vendored' pages implies a static read-only lookup, but this is left for the agent to infer; there is no statement about permissions, mutability, caching, or failure modes for an invalid page/operation.

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 only two short sentences with no filler, and the operation set is front-loaded. However, the brevity crosses into under-specification rather than efficiency, so the compactness is not fully earned.

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?

An output schema exists, so return values need not be described. What remains missing is what the tool's content actually is and how 'page' works, both of which an agent needs in order to invoke a 2-parameter tool correctly with a 0%-coverage schema.

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 the schema gives no enum for 'operation'. The description partially compensates by revealing that operation takes 'list' or 'get', but the required 'page' parameter is never mentioned or explained, leaving a required input undocumented in both schema and description.

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 the resource ('Culture knowledge box') and its two operations ('list | get'), plus the data source ('Vendored japan/ pages from ai-games-collection'). But it never says what a 'knowledge box' actually returns or what domain of culture content it covers, so an agent cannot confidently distinguish it from sibling tools like jlpt or kanji beyond the vague 'culture' label.

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 'list | get' notation implies two modes but gives no condition for choosing one over the other and no guidance on when to prefer this tool over jlpt, vocab, kanji, or japanophile_help. There is no when-to-use or when-not-to-use statement at all.

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