PRACTICAL FIELD GUIDE
Understand contains search before using LIKE filters
A contains-style filter is different from a full-text search engine. Test its matching behavior and workload before promising ranked search or typo tolerance.
MCPBackend editorial team · · Examples are illustrative
Put it into practice
- Choose the searchable field and inspect the supported like filter semantics.
- Test case, punctuation and special characters with representative input.
- Measure behavior on realistic data and consider a separate search service if the product needs richer retrieval.
What this looks like
ILLUSTRATIVE EXAMPLE
A title contains search finds matching substrings, but it does not automatically rank documents by relevance or correct misspellings.
A boundary to keep clear
Do not present a simple filter as a full search platform. Its query cost and matching semantics still need review.
MCPBackend context
Use get_project_api or the dashboard's generated OpenAPI contract for your project's exact data-plane routes. Machine keys and end-user tokens have different access models. Treat error status and JSON code together, keep credentials out of URLs, and test against disposable records before changing real data.
Take the next step
Inspect the current project contract, try the change with disposable data, and verify the result through the same credentials your app will use. Record the expected response and one denied-access case before release.
Sources and further reading
These references explain the underlying protocols and design principles. For supported MCPBackend operations and exact request shapes, inspect your project’s generated API contract.