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kcbdev

Morocco Open Data MCP

by kcbdev

get_world_bank_indicators

Fetch World Bank development indicators for Morocco, such as GDP, population, and poverty, using indicator codes and year ranges.

Instructions

Get World Bank development indicators for Morocco (GDP, population, poverty, etc.)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
indicatorYesIndicator code (e.g., 'NY.GDP.MKTP.CD' for GDP)
yearsNoYear range (e.g., '2010:2023') or 'latest'
Behavior2/5

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

No annotations exist, so the description must fully convey behavioral traits. It only states what the tool does, but does not disclose read-only status, potential rate limits, error behavior, or data source reliability. This leaves critical gaps for safe invocation.

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

Conciseness4/5

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

The description is a single, clear sentence that front-loads the action. It is concise, though it could include additional context without becoming verbose.

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

Completeness3/5

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

Given no annotations and no output schema, the description is the sole source of information. It covers purpose and parameter context, but lacks details on return format, pagination, or data freshness, which would be expected for a data retrieval tool. It is minimally adequate.

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?

Schema coverage is 100% with examples, but the description adds semantic meaning by specifying Morocco and listing indicator categories (GDP, population, poverty), which helps the agent choose appropriate codes. This goes beyond the schema's example code, moving above the baseline of 3.

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?

The description clearly states the tool gets World Bank development indicators for Morocco, listing examples (GDP, population, poverty). It specifies the resource and action, but does not explicitly differentiate from sibling tools like get_morocco_economic_summary or get_environmental_indicators, though the mention of World Bank provides some distinction.

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?

No guidance is provided on when to use this tool versus alternatives. With many sibling tools covering economic and environmental data, the lack of usage context is a significant gap.

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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