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MCPFax Public-Data Utility API

Economic indicator

v1_econ_indicator
Read-onlyIdempotent

Economic indicator: World Bank indicator time series for a country (GDP, unemployment, etc.). Source: World Bank Open Data. $0.008 per call · GET /v1/econ-indicator

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countryYesISO alpha-2/alpha-3. Example: 'US'.
indicatorYesWorld Bank indicator code. Example: 'NY.GDP.MKTP.CD'.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / country / examples
      Added value: +[
      +  "US"
      +]
    • addedInput schema / properties / indicator / examples
      Added value: +[
      +  "NY.GDP.MKTP.CD"
      +]
  2. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint false, so the safety profile is covered. The description adds useful behavioral context: source is World Bank Open Data, cost is $0.008 per call, and endpoint is GET /v1/econ-indicator. It does not explain response format, frequency of data, or error behavior, but the annotations lower the burden.

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 short and front-loads the core function before adding source, cost, and endpoint details. The opening 'Economic indicator:' is slightly redundant with the title, but otherwise every word is purposeful and there is no fluff.

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

Completeness4/5

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

For a simple two-parameter GET tool with rich annotations, the description is reasonably complete: it identifies the data source, the kind of return (time series), and cost. It lacks details about units, date ranges, and pagination, but these are not critical for an agent to make an initial correct call.

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

Parameters3/5

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

Schema coverage is 100%, with both parameters described and examples provided. The description adds no additional meaning beyond the schema, so it is at the baseline level.

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?

Description states it provides World Bank indicator time series for a country (GDP, unemployment, etc.), which is a clear resource and scope. However, it does not distinguish itself from sibling tools like v1_inflation or v1_country, so it is clear but not fully differentiated.

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 on when to use this tool versus alternatives such as v1_inflation. The description gives no selection criteria, exclusions, or context about choosing among economic data tools, leaving an agent to infer usage from the schema alone.

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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