Cigo Aircare & Carsafe

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. '실시간' (real-time) implies live/served data rather than cached, which is useful, but there is no mention of permissions, rate limits, failure modes, or whether the call has side effects despite the 'recommendation' wording.

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?

A single front-loaded sentence with no filler. It is compact, though the packing of two concepts into one clause slightly hurts readability rather than aiding it.

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, and an undocumented required parameter, the description does not supply enough for an agent to call this correctly: the location format, the kind of result returned, and whether the tool is read-only are all unstated.

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 single 'location' parameter is undocumented in both schema and description. '지역별' loosely implies location is a region, but the expected format (city name, code, coordinates) is left entirely ambiguous, a real risk for a query keyed on geography.

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 domain of the check (per-region real-time weather, fine dust, and vapor risk) plus a filter-management recommendation, which is more than a tautology of the name. However, it fuses two seemingly different actions (diagnosis and recommendation) and uses a nominalized verb, so it is not immediately clear whether this tool reads conditions or also advises on filter maintenance.

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 statement of when to use this tool, when not to, or which alternative (e.g. search_carsafe) to prefer. The phrase '필터 관리 권장' hints at a use case but does not frame it as guidance for the agent's decision.

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

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, and it carries none of it. It does not disclose whether this writes/reserves data, requires authentication or consent, is reversible, or what happens on conflict with an existing reservation — all essential for a reservation-style mutation.

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 short phrase with no filler, but that brevity is under-specification rather than conciseness. Nothing is front-loaded beyond a bare noun phrase, and the reader learns no actionable detail.

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 4-parameter, 3-required tool with no annotations and no output schema, this description is dramatically incomplete. The agent lacks purpose alignment with the name, usage context, behavioral disclosure, and all parameter meaning.

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% across four parameters, and the description compensates for none of it. It never explains what user_id, car_model, driving_time_or_freq mean, what format driving_time_or_freq accepts (minutes? frequency band?), or why driving_distance defaults to '모름' (unknown) and whether it may be omitted.

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 Korean phrase '운전자 주행 패턴 및 연락처 기반 교체주기 알림 예약' describes scheduling a replacement-cycle notification, but never mentions CRM, lifecycle, or anything matching the tool name/title 'set_crm_lifecycle'. An agent reading the name and the description side by side gets two different pictures of what the tool does, and no sibling differentiation is offered.

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 prerequisites, and no reference to the siblings (check_environment, search_carsafe, submit_b2b_inquiry). The agent is given no basis for choosing this tool over any alternative.

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