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list_stat_indicators

Regional statistics from BPS tables: the indicator ids with unit, level (province or kabupaten/kota), every period available, source table and caveats. Includes unemployment (TPT), poverty and poverty lines, HDI (IPM), wages, population, GRDP per capita and life expectancy. Start here, then call get_stat_values or get_stat_series.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden of disclosure. It does well: it describes the shape and content of each returned entry (id, unit, level of province vs kabupaten/kota, all periods, source table, caveats), which is the key behavioral fact for a zero-parameter listing tool. It does not mention whether results are cached, paginated, or require any auth, which keeps it short of a 5.

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?

Three sentences, front-loaded with what the tool returns and back-loaded with the follow-up tools. The indicator-category list (TPT, poverty, IPM, wages, population, GRDP, life expectancy) is dense but each item aids discovery, so nothing is filler.

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

Completeness5/5

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

There is no output schema, so the description must act as the return-value documentation, and it does: it lists every field an agent will receive. Combined with the explicit next-step routing, an agent has everything needed to call this correctly.

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?

The tool takes no parameters, so there is nothing for the description to disambiguate; the baseline of 4 applies. The enumeration of indicator families is useful orientation but is not parameter guidance.

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

Purpose5/5

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

States a specific verb (list) and resource (stat indicators from BPS tables) and enumerates exactly what each entry contains: indicator ids, unit, level, periods, source table, caveats. It also names the sibling tools (get_stat_values, get_stat_series) it feeds into, so an agent can distinguish it from them immediately.

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

Usage Guidelines5/5

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

'Start here, then call get_stat_values or get_stat_series' gives explicit sequencing and names both alternatives, with the condition (discovery first, then values/series) stated rather than inferred.

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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