Skip to content

Commit 7cf8bd5

Browse files
committed
Update mcp-quick-start.qmd
1 parent 16152e0 commit 7cf8bd5

File tree

1 file changed

+16
-13
lines changed

1 file changed

+16
-13
lines changed

docs/user-guide/mcp-quick-start.qmd

Lines changed: 16 additions & 13 deletions
Original file line numberDiff line numberDiff line change
@@ -119,9 +119,10 @@ Master these four command patterns and you'll be able to handle most data valida
119119

120120
Once you have Pointblank set up, these scenarios show the most common and powerful ways to use natural language data validation. Each example demonstrates the conversational flow and immediate value you'll experience.
121121

122-
### **1. 📊 Quick Data Check**
122+
### 1. 📊 Quick Data Check
123+
124+
**When**: You get a new dataset
123125

124-
**When:** You get a new dataset
125126
```
126127
👤 "I just got customer_data.csv. Is it clean?"
127128
🤖 "Loading... Found 15K customers. Issues:
@@ -131,9 +132,10 @@ Once you have Pointblank set up, these scenarios show the most common and powerf
131132
Want me to fix the emails?"
132133
```
133134

134-
### **2. 🔄 Daily Validation**
135+
### 2. 🔄 Daily Validation
136+
137+
**When**: Regular data quality checks
135138

136-
**When:** Regular data quality checks
137139
```
138140
👤 "Run our standard sales validation"
139141
🤖 "Running daily_sales template...
@@ -142,9 +144,10 @@ Once you have Pointblank set up, these scenarios show the most common and powerf
142144
Ready for dashboard update"
143145
```
144146

145-
### **3. 🚨 Issue Investigation**
147+
### 3. 🚨 Issue Investigation
148+
149+
**When**: Something looks wrong
146150

147-
**When:** Something looks wrong
148151
```
149152
👤 "Conversion rates jumped to 95%. That's impossible"
150153
🤖 "Found the problem! Test data contamination:
@@ -155,8 +158,6 @@ Once you have Pointblank set up, these scenarios show the most common and powerf
155158

156159
These examples show how natural conversation can quickly identify and resolve data quality issues that might take hours to diagnose manually.
157160

158-
---
159-
160161
## Common Validation Rules
161162

162163
Understanding what validation rules to ask for will help you quickly build comprehensive data quality checks. These examples cover the most frequent validation scenarios across different industries and data types.
@@ -183,16 +184,18 @@ These rule patterns can be combined and customized for your specific data and bu
183184

184185
## Some Tips and Tricks
185186

186-
These expert recommendations will help you get maximum value from your Pointblank MCP server and avoid common pitfalls. Following these practices ensures smooth, productive validation workflows.
187+
These recommendations will help you get more value from your Pointblank MCP server and avoid some common pitfalls.
187188

188189
### Talk Naturally
189190

190191
**Good:** "Check if customer emails look valid"
192+
191193
**Avoid:** "Execute col_vals_regex on email column"
192194

193195
### Provide Context
194196

195197
**Good:** "This is for the board presentation"
198+
196199
**Avoid:** Just asking for validation without explanation
197200

198201
### Build Incrementally
@@ -210,11 +213,11 @@ These expert recommendations will help you get maximum value from your Pointblan
210213
"Use our standard survey validation"
211214
```
212215

213-
These practices help you build sustainable data quality workflows that scale with your organization's needs while remaining accessible to team members with varying technical backgrounds.
216+
These practices help you build data quality workflows that scale with your needs while remaining accessible to those with varying technical backgrounds.
214217

215218
## File Support
216219

217-
Pointblank works with all major data formats, making it easy to validate data regardless of how it's stored. This universal support means you can maintain consistent validation practices across your entire data ecosystem.
220+
Pointblank works with many major data file formats, making it easy to validate data regardless of how it's stored. This support means you can maintain consistent validation practices across your entire data ecosystem.
218221

219222
| Type | Extensions | Example |
220223
|------|------------|---------|
@@ -227,7 +230,7 @@ The consistent natural language interface works the same regardless of file form
227230

228231
## Quick Troubleshooting
229232

230-
When you encounter issues, these quick fixes resolve the most common problems. Don't worry; the natural language interface means you can always ask for help and explanations in plain English.
233+
When you encounter issues, these quick fixes resolve the most common problems. Furthermore, the natural language interface means you can always ask for help and explanations.
231234

232235
| Problem | Quick Fix |
233236
|---------|-----------|
@@ -240,6 +243,6 @@ Remember, you can always ask the AI to explain what's happening or suggest solut
240243

241244
## Now You're Ready!
242245

243-
You now have everything needed to start validating data through natural conversation. The beauty of Pointblank's MCP server is that it grows with your expertise: start simple and gradually build more sophisticated validation workflows as you become comfortable with the interface.
246+
You now have everything needed to start validating data through conversation. The beauty of Pointblank's MCP server is that it grows with your expertise: start simple and gradually build more sophisticated validation workflows as you become comfortable with the interface.
244247

245248
Start with simple commands and build up to more complex validation workflows. The AI will guide you through the process and help you create robust data quality checks!

0 commit comments

Comments
 (0)