Understand the service cache and your application cache
A cache-first API can answer from normalized stored data without waiting for an upstream feed. Your application may add another cache around repeated agent requests. These layers solve different latency and cost problems, and each needs an explicit key, lifetime, and invalidation policy. An agent should see the relevant freshness metadata rather than a simple boolean called cached.
Build application cache keys from the exact operation, stable resource IDs, normalized filters, page, and limit. Do not key on the user’s natural-language question because two phrasings may represent the same query, while one phrasing may hide materially different parameters. Store the structured response and evidence metadata, then regenerate prose as needed.
Make staleness a product decision
A historical competition list and a fixture beginning soon should not share one time-to-live. Define freshness classes in code: reference data, future schedules, recent results, and any future near-live capability. The policy can choose fresh-only, stale-with-warning, or stale-while-revalidate depending on the user experience and source guarantees.
Do not let the model decide silently that an old response is probably good enough. Pass cache age and maximum accepted age into the tool result. If the threshold is exceeded, the tool should refresh, return a qualified stale record, or fail. This makes latency predictable without turning cached data into an invisible correctness risk.
- Reference records: longer cache, invalidate on data-version change.
- Upcoming fixtures: shorter cache as kickoff approaches.
- Completed historical results: cache aggressively after validation.
- Errors: use brief negative caching so an outage does not create a retry storm.
A handoff your agent can actually follow
Treat an AI agent as a planner and transformer, not as the database. Give it a narrow task, the exact resources it may call, the response fields it may quote, and a stop condition for missing data. Keep bearer credentials in the server-side tool implementation rather than in the prompt, transcript, browser, or generated source file.
The handoff below is deliberately operational. It asks for evidence before prose, makes uncertainty visible, and keeps the model inside the current football API contract. Adapt the output format to your product, but preserve the rules about stable IDs, UTC timestamps, freshness, and error handling.
Read cache and freshness metadata from every tool result.
Reuse application cache only within the workflow’s declared maximum age.
Do not assume an upstream cache hit is free of quota cost.
On stale data, return the retained value with a visible qualification or stop.What the human reviewer still owns
Automation can verify schemas and repeatable checks, but publication and product decisions still need a person. Review the selected competition, season, team, and match IDs; confirm that the time window matches the user’s question; and read the final answer against the retrieved JSON. A fluent explanation is not evidence that the underlying call was correct.
For time-sensitive football AI, record when the source was ingested and when the agent retrieved it. If the workflow cannot establish those timestamps, qualify the result instead of presenting it as current. The same rule applies to unavailable capabilities: do not quietly substitute fixtures or results for lineups, player statistics, odds, expected goals, injuries, or live events.
- Confirm every quoted fact appears in the retained API response.
- Exercise the empty, 401, 404, 429, and 503 paths before launch.
- Keep model interpretation separate from source facts in logs and user-facing output.
- Verify cache keys include every filter and that stale-while-revalidate behavior cannot mix teams, competitions, seasons, or date windows.
Continue with the contract, not a guess
Start with the public contract and coverage ledger, then move into implementation only when the capability you need is marked available. The related guide gives your next agent-first pattern without requiring an undocumented endpoint.