가격표 조회
get_pricingCost: free. 툴별 크레딧 비용, 크레딧 단가(KRW), 충전 방법을 반환합니다.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_pricingCost: free. 툴별 크레딧 비용, 크레딧 단가(KRW), 충전 방법을 반환합니다.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already provide readOnlyHint and openWorldHint. The description adds the 'Cost: free' note and enumerates the returned information, but it does not disclose output format, pagination, or other operational behavior. It does not contradict the annotations.
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 description is a single compact sentence that leads with the cost and then lists the three pieces of returned information. There is no filler, repetition, or unnecessary 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 zero-parameter, read-only tool with annotations already present, the description is mostly complete. It clearly states what is returned, though it omits the exact response structure or format, which is a minor gap given no output schema exists.
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?
The tool has zero parameters, so parameter-level semantic details are not needed. The baseline of 4 for zero-parameter tools applies, and the description carries no parameter documentation burden.
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 uses a specific verb '반환합니다' and names three concrete resources: per-tool credit cost, credit unit price in KRW, and recharge methods. It clearly defines the tool's purpose, but it does not explicitly distinguish it from sibling tools.
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 description implies that the tool is used to fetch pricing and credit information, but it does not state explicit conditions for when to use it over alternatives such as get_balance. The usage context is understandable but left to inference.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a clearly distinct resource and action: addresses, apartment prices, corporations, laws, business registration, and billing info. Even the paired search_corporation/lookup_corporation are unambiguously separated by description and intended usage.
Most tools follow a consistent verb_noun snake_case pattern (search_address, lookup_corporation, verify_business_registration). The only noticeable deviation is apartment_trade_prices, which is a noun phrase rather than verb-led, but the overall pattern remains readable and predictable.
Eight tools is a well-scoped size for a Korean ground-truth data server covering addresses, real estate, corporations, legal, business registration, and account maintenance. Each tool earns its place and the count is neither bloated nor thin.
Core query and verification workflows are well covered, and the intended chaining (search_address -> apartment_trade_prices, search_corporation -> lookup_corporation) is clear. Minor gaps exist, such as no rental price lookup, no full law text retrieval, and limited corporation detail beyond basic registry information.