index_overviewDescriptive statistics for The Omelette Index: how many places serve a plain omelette, countries/subdivisions/cities published, the global price centre in EUR, and the dearest and cheapest published countries.
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Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It explicitly states the tool returns descriptive statistics and lists the specific outputs, making the read-only, aggregate nature clear. It does not address formatting or edge cases, but for a zero-parameter overview tool this is reasonably transparent.
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 front-loads the tool's purpose ('Descriptive statistics for The Omelette Index') and then lists the concrete values returned. Every phrase adds useful information, and there is no redundancy or filler.
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 low complexity, empty input schema, and no output schema, the description provides enough detail for an agent to understand what will be returned. It conveys the dataset scope, the included statistics, and even the currency unit (EUR). The only minor gap is the lack of detail about the response format, but this is not critical for a no-input overview tool.
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 the baseline is 4. The input schema is empty and complete, and the description adds no parameter-specific detail because none is needed. The description focuses on what the overview returns rather than inputs, which is appropriate here.
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 this as a dataset-level overview tool with a specific resource ('The Omelette Index') and enumerates the exact statistics it provides, such as counts of places, published countries/subdivisions/cities, global price centre, and dearest/cheapest countries. This scope distinguishes it from the sibling tools, which target specific geographical or comparison views.
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 this tool is for obtaining a high-level dataset summary, but it does not explicitly state when to use it instead of siblings like cities, compare, country_index, or subdivisions. There are no direct alternative references or exclusion criteria, so usage guidance is only implicit.
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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Each tool targets a distinct geographic level or analytical view, but compare and country_index can both return country-level price rankings, so an agent may need to read the descriptions carefully to choose correctly. Overall, the boundaries are clear enough for most queries.
Names are consistently lowercase snake_case and mostly noun phrases describing the returned view, but compare stands out as a standalone verb. The pattern is still readable and predictable.
Five tools is well-scoped for a focused data retrieval server. Each tool provides a distinct view—overview, countries, cities, subdivisions, and comparisons—without unnecessary redundancy.
The set covers the full read-only surface of The Omelette Index: global statistics, country rankings and details, city readings with filters, subdivisions by country, and country comparisons. There are no obvious dead ends for typical lookup workflows.