AI Agent工具调用token消耗太多不准确怎么办？Anthropic官方的大模型工具使用（MPC）优化：tokens消耗降低98.7% | DataLearnerAI

AI Agent工具调用token消耗太多不准确怎么办？Anthropic官方的大模型工具使用（MPC）优化：tokens消耗降低98.7% | DataLearnerAI

gdrive.getDocument
	Description: Retrieves a document from Google Drive
	Parameters:
		documentId (required, string): The ID of the document to retrieve
		fields (optional, string): Specific fields to return
	Returns: Document object with title, body content, metadata, permissions, etc.

salesforce.updateRecord
	Description: Updates a record in Salesforce
	Parameters:
		objectType (required, string): Type of Salesforce object (Lead, Contact, Account, etc.)
		recordId (required, string): The ID of the record to update
		data (required, object): Fields to update with their new values
	Returns: Updated record object with confirmation

TOOL CALL: gdrive.getDocument(documentId: "abc123")
→ returns "Discussed Q4 goals...\n[full transcript text]"
(loaded into model context)

TOOL CALL: salesforce.updateRecord(
	objectType: "SalesMeeting",
	recordId: "00Q5f000001abcXYZ",
	data: { "Notes": "Discussed Q4 goals...\n[full transcript text written out]" }
)
(model needs to write entire transcript into context again)

servers
├── google-drive
│   ├── getDocument.ts
│   ├── ... (other tools)
│   └── index.ts
├── salesforce
│   ├── updateRecord.ts
│   ├── ... (other tools)
│   └── index.ts
└── ... (other servers)

// ./servers/google-drive/getDocument.ts
import { callMCPTool } from "../../../client.js";

interface GetDocumentInput {
  documentId: string;
}

interface GetDocumentResponse {
  content: string;
}

/* Read a document from Google Drive */
export async function getDocument(input: GetDocumentInput): Promise<GetDocumentResponse> {
  return callMCPTool<GetDocumentResponse>('google_drive__get_document', input);
}

// Read transcript from Google Docs and add to Salesforce prospect
import * as gdrive from './servers/google-drive';
import * as salesforce from './servers/salesforce';

const transcript = (await gdrive.getDocument({ documentId: 'abc123' })).content;
await salesforce.updateRecord({
  objectType: 'SalesMeeting',
  recordId: '00Q5f000001abcXYZ',
  data: { Notes: transcript }
});

// Without code execution - all rows flow through context
TOOL CALL: gdrive.getSheet(sheetId: 'abc123')
        → returns 10,000 rows in context to filter manually

// With code execution - filter in the execution environment
const allRows = await gdrive.getSheet({ sheetId: 'abc123' });
const pendingOrders = allRows.filter(row => 
  row["Status"] === 'pending'
);
console.log(`Found ${pendingOrders.length} pending orders`);
console.log(pendingOrders.slice(0, 5)); // Only log first 5 for review

let found = false;
while (!found) {
  const messages = await slack.getChannelHistory({ channel: 'C123456' });
  found = messages.some(m => m.text.includes('deployment complete'));
  if (!found) await new Promise(r => setTimeout(r, 5000));
}
console.log('Deployment notification received');

const sheet = await gdrive.getSheet({ sheetId: 'abc123' });
for (const row of sheet.rows) {
  await salesforce.updateRecord({
    objectType: 'Lead',
    recordId: row.salesforceId,
    data: { 
      Email: row.email,
      Phone: row.phone,
      Name: row.name
    }
  });
}
console.log(`Updated ${sheet.rows.length} leads`);

// What the agent would see, if it logged the sheet.rows:
[
  { salesforceId: '00Q...', email: '[EMAIL_1]', phone: '[PHONE_1]', name: '[NAME_1]' },
  { salesforceId: '00Q...', email: '[EMAIL_2]', phone: '[PHONE_2]', name: '[NAME_2]' },
  ...
]

const leads = await salesforce.query({ 
  query: 'SELECT Id, Email FROM Lead LIMIT 1000' 
});
const csvData = leads.map(l => `${l.Id},${l.Email}`).join('\n');
await fs.writeFile('./workspace/leads.csv', csvData);

// Later execution picks up where it left off
const saved = await fs.readFile('./workspace/leads.csv', 'utf-8');

// In ./skills/save-sheet-as-csv.ts
import * as gdrive from './servers/google-drive';
export async function saveSheetAsCsv(sheetId: string) {
  const data = await gdrive.getSheet({ sheetId });
  const csv = data.map(row => row.join(',')).join('\n');
  await fs.writeFile(`./workspace/sheet-${sheetId}.csv`, csv);
  return `./workspace/sheet-${sheetId}.csv`;
}

// Later, in any agent execution:
import { saveSheetAsCsv } from './skills/save-sheet-as-csv';
const csvPath = await saveSheetAsCsv('abc123');