Get Food Price Index
get_vanbasketGet VanBasket food price index details for one country.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| country_code | Yes | ISO 3166-1 alpha-2 country code. |
get_vanbasketGet VanBasket food price index details for one country.
| Name | Required | Description | Default |
|---|---|---|---|
| country_code | Yes | ISO 3166-1 alpha-2 country code. |
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 declare readOnlyHint, idempotentHint, and destructiveHint:false, so the safety profile is covered. The description adds minor context by specifying 'details' and 'one country,' but it does not disclose significant behavioral traits beyond the annotations. No contradiction exists.
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, front-loaded sentence with no redundant or filler content. It efficiently communicates the tool's action, resource, and scope.
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?
Given the tool's simplicity (one required parameter, strong annotations, no output schema), the description is adequate but leaves 'details' undefined. It could be more complete by hinting at what data fields are returned, especially since the title only says 'Get Food Price Index.'
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 schema fully describes 'country_code' with an ISO 3166-1 alpha-2 definition, giving 100% coverage. The description only restates the single-country scope and adds no new parameter-specific meaning, so the baseline of 3 is appropriate.
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 clear verb ('Get') and specific resource ('VanBasket food price index details') with an explicit scope ('for one country'). This effectively distinguishes it from the sibling tool 'compare_vanbasket', which likely handles multiple countries or comparisons.
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 phrase 'for one country' implies the tool is for single-country lookups, but it does not explicitly mention when to use it over alternatives like 'compare_vanbasket' or provide any exclusion criteria. Usage context is only implied, not directly stated.
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 has a clearly distinct purpose targeting specific resources like fuel prices, events, weather, or stories, with no overlap in functionality. For example, compare_fuel_prices and find_cheapest_fuel serve different comparison and search roles, while get_fuel_prices provides detailed data, making misselection unlikely.
All tool names follow a consistent verb_noun pattern (e.g., compare_fuel_prices, get_currency_rate, list_events), using snake_case throughout. This predictability aids agents in understanding and selecting tools without confusion from mixed conventions.
With 11 tools, the count is well-scoped for the vanlife travel domain, covering key areas like fuel, events, weather, and stories. Each tool earns its place by addressing distinct needs, avoiding bloat while providing comprehensive coverage for planning and information retrieval.
The tool set offers strong coverage for vanlife travel, including fuel price comparison, event listings, weather suitability, and story searches, with no dead ends. A minor gap exists in lacking update or delete operations for user-specific data, but core informational and planning workflows are fully supported.