models_get_pricing
Тарификация модели в рублях. Внутренняя экономика (markup/курс ЦБ) не раскрывается.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| modelId | Yes |
Тарификация модели в рублях. Внутренняя экономика (markup/курс ЦБ) не раскрывается.
| Name | Required | Description | Default |
|---|---|---|---|
| modelId | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the behavioral burden. It usefully discloses that internal markup and Central Bank exchange rate are not exposed, and that pricing is in rubles. However, it does not describe side effects, authentication needs, or the exact scope of what the returned price covers.
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 two short sentences with no filler. The first sentence states the core purpose, and the second adds a relevant limitation. It is appropriately sized and front-loaded.
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 one-parameter read-only lookup, the schema covers invocation and 'modelId' is reasonably self-explanatory. Still, there is no output schema and the description does not explain the return shape or how to discover valid model IDs. It is mostly adequate for a minimal tool but leaves some gaps.
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 description does not explain modelId beyond what the property name implies. There is no mention of where to find valid model IDs, any format requirements, or how the ID maps to a model. The tool name and schema make it inferable, but the description adds no parameter-level value.
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 clearly identifies the tool as providing model pricing in rubles, which is a specific resource and currency. It does not explicitly contrast with sibling tools, but 'pricing' is distinct from balance, chat, listing, and search functions.
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 guidance about when to use this tool versus models_list, models_search, or chat_complete. The description does not mention that modelId can be obtained from models_list or any prerequisites, leaving selection 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.
balance_get, chat_complete, and models_get_pricing have clearly distinct purposes. models_list and models_search overlap somewhat, but the descriptions differentiate a paginated catalog from a filtered search.
Most tools follow a resource-first, action-last pattern like balance_get and models_list. models_get_pricing breaks the pattern slightly by embedding a second object in the action, and chat_complete is a little ambiguous, but overall the naming remains readable and predictable.
Five tools is well-scoped for a chat/API gateway server. Each tool serves a distinct core need: balance, completion, pricing, model listing, and model search.
The set covers the main workflows: checking balance, calling chat completions, browsing/searching models, and fetching pricing. The explicit lack of streaming is a notable gap, but non-streaming parity is still provided and there are no dead ends.