Skip to main content
Glama

compare_countries

Compare agricultural indicators across countries using World Bank data. Analyze crop yields, arable land, fertilizer consumption, and agricultural GDP by year range.

Instructions

Agrar-Indikator zwischen Ländern vergleichen.

Args: countries: Länder-Codes getrennt mit Semikolon (z.B. "DEU;USA;BRA;IND;CHN") indicator: Indikator-Name (z.B. "cereal_yield", "arable_land_pct", "fertilizer_consumption", "agriculture_gdp_pct") year_range: Zeitbereich (z.B. "2020" oder "2018:2023")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countriesYes
indicatorNocereal_yield
year_rangeNo2018:2023
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, description fails to disclose return format, error handling for invalid country codes, data sources, or rate limits; only provides input format hints.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Appropriately brief, front-loaded with purpose statement, followed by structured Args section with clear formatting guidance.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Critical gap given no output schema exists: fails to describe what data structure is returned (time series, aggregates, comparison metrics) or data coverage limitations.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Effectively compensates for 0% schema description coverage by providing concrete examples for all three parameters (country code format, indicator examples, year range syntax).

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States specific action (compare) and resource (agricultural indicators between countries) clearly in German, though lacks explicit differentiation from sibling 'country_agriculture_profile'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides no guidance on when to use this versus 'country_agriculture_profile' or other alternatives, nor any exclusion criteria.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/AiAgentKarl/agriculture-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server