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assemble_context
GraphRAG-as-a-service: instead of a link list, a ready-to-read context pack — the corroborated, story-deduped, trust-ranked passages for a question, packed to a token budget, each carrying the reason it was included.
Behaviour
The engine runs the whole retrieval loop — search, dedup, corroborate, rank, pack — so you just read. Use this when the question is 'what should I know about X' rather than 'find me the page that says Y'.
`budget` is in tokens and is honoured as a ceiling; `estimated_tokens` reports what was actually packed.
Arguments
inputSchema
| Name | Type | Description |
|---|---|---|
budget | integer | Token budget for the pack |
mode | "keyword" | "semantic" | "hybrid" | — |
qrequired | string | The question |
Returns
A JSON payload in the text content block, and the same payload as
structuredContent for clients that support it.
outputSchema
| Name | Type | Description |
|---|---|---|
estimated_tokensrequired | integer | — |
itemsrequired | object[] | — |
queryrequired | string | — |
token_budgetrequired | integer | — |
Calling it
Over Streamable HTTP, with the required arguments filled in:
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "assemble_context",
"arguments": {
"q": "<q>"
}
}
}Most clients do this for you — see Connect a client. To drive it by hand, complete the startup lifecycle first.