veryfront__get_file_chunk_embeddingAccess
No external-service connection is required. Use a Veryfront credential with access to the requested resources. Call type: Read-only.Arguments
| Field | Type | Required | Description and constraints |
|---|---|---|---|
project_reference | string | No | Project identifier or slug that scopes the tool call. |
chunk_id | string | Yes | Provide the chunk id. Format: uuid. |
environment | string | No | Deployment index to read. Omit all scope selectors for project-wide stored embeddings, including branch, release, historical, and legacy indexes. PREVIEW explicitly selects current main or the selected branch. Values: "PREVIEW", "PRODUCTION", "RELEASE". |
branch_id | string or null | No | Select a current preview branch. Use null to explicitly select current main; when PREVIEW is set, an omitted branch also selects main. |
release_id | string | No | Select a frozen release by ID. RELEASE is inferred when environment is omitted. Format: uuid. |
release_version | string | No | Select a frozen release by version when no release ID is supplied. RELEASE is inferred when environment is omitted. |
dimension | string | Yes | Vector dimension to retrieve. Values: "768", "1024", "1536", "3072", "4096". |
include_vector | boolean | No | Include raw vector data. Defaults to true. Default: true. |
Example request
Send this JSON-RPC request through an initialized MCP client. Replace sample identifiers and values before calling the tool. See MCP client setup.request.json
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "veryfront__get_file_chunk_embedding",
"arguments": {
"chunk_id": "00000000-0000-4000-8000-000000000000",
"dimension": "768"
}
}
}
Result
The published output shape is summarized below. Inspect both the MCP response content andisError when handling a call.
| Field | Type | Required | Description and constraints |
|---|---|---|---|
id | string | Yes | Embedding ID. |
chunk_id | string | Yes | File chunk ID associated with the embedding. |
model | object | Yes | Embedding model that produced the vector. Not an agent chat model. |
status | string | Yes | Embedding lifecycle status. Values: "ready", "stale", "missing". |
vector | number[] | No | Raw embedding vector when requested. |
created_at | string | Yes | Embedding creation timestamp in ISO 8601 format. |
Full schemas
{
"type": "object",
"properties": {
"project_reference": {
"type": "string",
"description": "Project identifier or slug that scopes the tool call."
},
"chunk_id": {
"type": "string",
"format": "uuid",
"description": "Provide the chunk id."
},
"environment": {
"type": "string",
"enum": [
"PREVIEW",
"PRODUCTION",
"RELEASE"
],
"description": "Deployment index to read. Omit all scope selectors for project-wide stored embeddings, including branch, release, historical, and legacy indexes. PREVIEW explicitly selects current main or the selected branch."
},
"branch_id": {
"anyOf": [
{
"type": "string",
"format": "uuid",
"description": "Branch identifier. Use null for the main branch when the tool supports it."
},
{
"type": "null",
"description": "Branch identifier. Use null for the main branch when the tool supports it."
}
],
"description": "Select a current preview branch. Use null to explicitly select current main; when PREVIEW is set, an omitted branch also selects main."
},
"release_id": {
"type": "string",
"format": "uuid",
"description": "Select a frozen release by ID. RELEASE is inferred when environment is omitted."
},
"release_version": {
"type": "string",
"description": "Select a frozen release by version when no release ID is supplied. RELEASE is inferred when environment is omitted."
},
"dimension": {
"type": "string",
"enum": [
"768",
"1024",
"1536",
"3072",
"4096"
],
"description": "Vector dimension to retrieve."
},
"include_vector": {
"type": "boolean",
"description": "Include raw vector data. Defaults to true.",
"default": true
}
},
"required": [
"chunk_id",
"dimension"
],
"additionalProperties": false,
"description": "Arguments for the get_file_chunk_embedding tool.",
"$schema": "http://json-schema.org/draft-07/schema#"
}
{
"type": "object",
"properties": {
"id": {
"type": "string",
"description": "Embedding ID."
},
"chunk_id": {
"type": "string",
"description": "File chunk ID associated with the embedding."
},
"model": {
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "Embedding model name."
},
"provider": {
"type": "string",
"description": "Embedding provider name."
},
"dimension": {
"type": "number",
"description": "Embedding vector dimension."
}
},
"required": [
"name",
"provider",
"dimension"
],
"additionalProperties": false,
"description": "Embedding model that produced the vector. Not an agent chat model."
},
"status": {
"type": "string",
"enum": [
"ready",
"stale",
"missing"
],
"description": "Embedding lifecycle status."
},
"vector": {
"type": "array",
"items": {
"type": "number"
},
"description": "Raw embedding vector when requested."
},
"created_at": {
"type": "string",
"description": "Embedding creation timestamp in ISO 8601 format."
}
},
"required": [
"id",
"chunk_id",
"model",
"status",
"created_at"
],
"additionalProperties": false,
"description": "Structured result returned by the get_file_chunk_embedding tool.",
"$schema": "http://json-schema.org/draft-07/schema#"
}