get_kids_menu
Детское меню и условия для гостей с детьми (если есть у этого ресторана). Kids menu, if the restaurant has one.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Детское меню и условия для гостей с детьми (если есть у этого ресторана). Kids menu, if the restaurant has one.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It discloses that availability is conditional, but it says nothing about what is returned, whether the lookup is read-only, or how a missing kids menu is signaled.
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?
Two short sentences with the availability caveat front-loaded; nothing is wasted. The bilingual duplication adds a little length but does not obscure the core statement.
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 simple zero-parameter lookup with no output schema, the definition gives the essential scope and the conditional-availability caveat. It could say more about the expected return content, but the core calling decision is covered.
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 takes zero parameters, so there is nothing to disambiguate. The description correctly does not invent parameter semantics, matching the baseline for parameterless tools.
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?
States a specific resource (kids menu) and scope (conditions for guests with children), which is clear enough for an agent to select it over get_menu. It does not explicitly say how it differs from the general get_menu tool or whether it is a subset lookup.
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 parenthetical 'if the restaurant has one' implies a usage condition (only call when the venue may offer a kids menu), but it does not contrast with alternatives such as get_menu or search_menu. Usage is implied rather than prescribed.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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