Responsible SEO Automation
Build safe SEO MCP automations with read-only defaults, explicit confirmation, bounded queries, reproducible evidence, and human review.
Responsible SEO automation makes investigation faster without hiding decisions or expanding permissions. The default should be read-only analysis with reproducible evidence. State changes should be narrow, explicit, and confirmed.
Operating principles
Discover identifiers
Call list_projects and list_crawls. Never invent or reuse unverified identifiers from an older conversation.
Retrieve only what the task needs
Use structured filters and bounded pagination. A smaller, relevant dataset is easier to verify than a large export.
Separate fact from recommendation
Report the observed field and value before explaining impact. Label hypotheses as hypotheses.
Preserve human authority
Do not infer authorization to create, update, delete, or start a crawl from a request to analyze, diagnose, or recommend.
Require exact confirmation
If a tool accepts confirm=true, the confirmation must refer to that exact action and target.
Read-only automation template
This is a read-only recurring review.
Use the latest completed crawl. Do not start a new crawl.
Retrieve only the records needed for the requested checks.
If data is missing, report the gap instead of changing account state.Change-planning template
Plan the requested change.
Show the project UID, current value, proposed value, expected effect, and risk.
Do not call a state-changing tool. Wait for confirmation.Reporting provenance
Every durable report should include:
- Project UID.
- Crawl UID or comparison pair.
- Crawl timestamp.
- Filters and operators.
- Result count and sampling limit.
- Known exclusions or missing data.
- Generation or review date.
Avoid these patterns
- Starting a crawl because the existing dataset looks old.
- Deleting a project after a broad cleanup request.
- Treating a quick-win label as sufficient evidence.
- Hiding pagination or sampling.
- Combining unrelated changes into one confirmation.
- Claiming a causal performance diagnosis from correlated metrics.
See Security and permissions for server-level guardrails.
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