aadhar.sh WebMCP Tools, Schemas & Agent Capabilities

aadhar.sh

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First seen 2026-11-05 · Last seen 2026-11-05 · Source: webmcp.com

Answer 13 · Act 18 · Transact 0 · Score: Not yet scored

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answer imperative

Ask aadhar.sh a natural-language question and get NLWeb-shaped results: for each match a url, name, site, score (0-100), description, and a schema.org schema_object. Retrieval is lexical over the site's own corpus and descriptions are extractive, so this returns the passages that answer the question rather than a written answer. mode=summarize and mode=generate are refused by name: this origin runs no language model. [safety: read-only.]

Page: /lens

Input schema

Property	Type	Required	Description
`query`	string	yes	the question, in natural language
`site`	string	no	NLWeb site token; this origin serves one site, so "aadhar.sh" or "all"
`mode`	string	no	list (the only one served here); summarize and generate are refused rather than degraded
`prev`	array	no	previous queries. Received and NOT resolved, since decontextualization needs a model; send decontextualized_query instead
`decontextualized_query`	string	no	the fully self-contained form of a follow-up question. When present this is what gets searched
`top_k`	integer	no	—

Raw JSON schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "the question, in natural language"
    },
    "site": {
      "type": "string",
      "description": "NLWeb site token; this origin serves one site, so \"aadhar.sh\" or \"all\""
    },
    "mode": {
      "type": "string",
      "enum": [
        "list",
        "summarize",
        "generate"
      ],
      "description": "list (the only one served here); summarize and generate are refused rather than degraded"
    },
    "prev": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "previous queries. Received and NOT resolved, since decontextualization needs a model; send decontextualized_query instead"
    },
    "decontextualized_query": {
      "type": "string",
      "description": "the fully self-contained form of a follow-up question. When present this is what gets searched"
    },
    "top_k": {
      "type": "integer",
      "minimum": 1,
      "maximum": 50
    }
  },
  "required": [
    "query"
  ]
}

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