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District-level open data for India — Census, NFHS-5, NCRB, RBI and more, joined onto one geography.

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Status
Healthy
Uptime
100.0% over the last 24 hours
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
URL
ChatGPT
–
Claude
–

TDQS

A4.6/5.0

Scored across 6 tools

Disambiguation5/5

Each tool has a clearly distinct role: finding indicators, resolving a single district, comparing two districts, ranking many districts, retrieving methodology, and building a map link. Compare and rank both handle multiple districts but descriptions sharply separate pairwise comparison from best/worst ranking, so an agent should not misselect.

Naming Consistency5/5

All tool names follow the same verb_noun pattern in lowercase snake_case: build_map_link, compare_districts, find_indicator, get_district, get_methodology, rank_districts. The verbs are distinct and each noun is the tool's primary object, making the surface predictable.

Tool Count5/5

Six tools is a well-scoped size for a read-only spatial indicator server. Every tool earns its place in a coherent pipeline of discovery, lookup, comparison, ranking, metadata verification, and map-link generation, with no redundant tools.

Completeness4/5

The core read-only workflows are covered: find an indicator, get a district, compare districts, rank districts, explain methodology, and link to a map. Minor gaps exist, such as no direct way to simply list all indicators in the catalogue or enumerate districts in a state without framing it as a ranking, but agents can work around these.

Available Tools

6 tools
compare_districtsCompare districtsA
Read-only
Inspect

Use when the question names two or more places and asks how they differ — "compare Pune and Nagpur on literacy and bank credit". One call, not one get_district per district. Write an ambiguous name as "Bilaspur, Chhattisgarh".

Inputs: districts (required), indicators (required).

find_indicatorFind an indicatorA
Read-only
Inspect

Use FIRST, before any other tool, whenever a question names a subject rather than an indicator id — "stunting", "land inequality", "bank credit". Returns matching indicator ids with their unit, source, vintage, caveat and district coverage. Every other tool needs an id from here; ids are not guessable and inventing one fails.

Inputs: query (required).

get_districtGet one districtA
Read-only
Inspect

Use when the question is about one named place — "tell me about Bilaspur", "what is Pune's literacy rate". Resolves an Indian district name, including common alternative spellings, to its objectid and returns its values. Four district names are shared by two states, so if the name is ambiguous this returns every match with its state and no data: ask the user which one, then call again with state.

Inputs: name (required), state, indicators.

get_methodologyGet methodology and citationA
Read-only
Inspect

Use whenever the answer will state a number to a user, and always when asked how a figure was produced, how old it is, or whether it can be trusted. Returns the source, vintage, definition, caveat, estimation method, licence attribution and the citation string for one indicator, or for the dataset as a whole when no indicator is given. Do not describe a number as measured or estimated without checking here — each district carries its own estimated flag.

Inputs: indicator.

rank_districtsRank districtsA
Read-only
Inspect

Use for best/worst/highest/lowest questions over many districts — "worst 20 districts for child stunting in Uttar Pradesh". Check the indicator's polarity in the result before calling a tail "worst": for a higher-worse indicator the worst districts are order: "desc", for higher-better they are order: "asc". Districts the source never covered sort last in both directions and are never presented as an extreme.

Inputs: indicator (required), limit, order, scope.

Tool Schema Changelog

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