Documentation Index
Fetch the complete documentation index at: https://docs.enginy.ai/llms.txt
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What good prompts do
Good MCP prompts are specific about the outcome, the data shape, and whether the client is allowed to write.- ask for one task at a time
- name the target object or workflow
- say whether you want read-only analysis or a write-capable plan
- request a confirmation checkpoint before any mutation
- prefer concise summaries first, then deeper detail on request
Read-only examples
These are safe starting points for exploration, triage, and workspace inspection.| Goal | Example prompt | Expected behavior |
|---|---|---|
| Verify access | Run mcp_whoami and tell me who I am, which client is connected, and which scopes are granted. | Confirms the connection and current permissions |
| Understand the workspace | Use Enginy MCP to inspect the relevant records for this account and summarize what matters most in 5 bullets. | Finds and summarizes data without mutating anything |
| Find likely next steps | Search for the most relevant contacts and companies for this account, then rank them by fit and explain why. | Uses read tools to gather candidates and rank them |
| Review campaign status | Show me the current state of this campaign, the main blockers, and any obvious inconsistencies. | Pulls current state and returns an operator summary |
| Sanity-check a flow | Before any changes, map the data you would need to touch and list the exact tools you expect to use. | Produces a plan instead of making edits |
Write-capable examples
For anything that mutates data, instruct the client to stop before execution and ask for approval.| Goal | Example prompt | Required behavior |
|---|---|---|
| Prepare a change | Draft the updates needed for these contacts, but do not execute anything until I confirm the exact diff. | Plan first, wait for approval |
| Update a campaign | Prepare a safe campaign update plan, call out any destructive changes, and ask me before you apply them. | Surface the diff and require a confirmation step |
| Bulk edit records | Identify the records that should change, show me the proposed edits grouped by record, and wait for my sign-off. | Group changes and pause |
| Write with guardrails | If you need a write scope, explain why, show the minimum permission needed, and stop until I approve. | Keep the scope request minimal and explicit |
Prompts by client
Claude Code
Use this when you want the assistant to inspect data first and only mutate after you approve the plan:Codex
Codex works well when you separate discovery from execution:Cursor
Cursor prompts should be explicit about the local flow you want:ChatGPT developer mode
Use the same operator pattern in ChatGPT developer mode:Other remote MCP clients
For any other remote MCP client, keep the instruction simple:Prompt patterns that work well
First inspect, then summarize, then askShow the minimum diffUse read-only tools unless I approve a writeExplain missing scopes instead of retrying blindlyIf something fails, tell me the exact MCP/client reason and the next fix
Prompt patterns to avoid
Do everything automaticallyFix the workspace without askingUse whatever scopes you needKeep retrying until it worksWrite changes and then summarize them