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Poll for new & changed job requests (sync feed)

listJobRequestChanges
Read-only

Poll for new and changed job requests (work orders) to keep your CRM or field-service tool in sync. Returns state changes since the given cursor, ordered oldest-first.

Instructions

Poll for new & changed job requests (sync feed)

Keep an external system (your CRM, ERP or field-service tool) in sync with bookings WITHOUT re-listing everything: returns the job requests (work orders) whose state changed (created, status transition, reschedule, soft-delete/archive) at or after the since cursor, ordered oldest-change-first (updated_at ASC).

How to use it: (1) On your first poll OMIT since — the server primes the cursor at "now", returns no items and a next_since. (2) Store next_since and pass it as since on the next poll. (3) Apply each returned item to your store by UPSERTING on id (the server re-scans a ~5s safety window, so the same job may appear again — never blindly append). (4) If has_more is true the page filled to limit and more changes are already waiting — poll again immediately; otherwise wait your normal interval (e.g. 5–15s).

This is NOT pagination — it is a time-keyed change feed. Use the paginated GET /job-requests for the initial bulk load, then this endpoint to stay live. Filters (status_keys, customer_id, …) narrow the feed to the slice you care about.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax changes per poll (default 15, max 1000). If the page fills, has_more=true.
sinceNoRFC3339 cursor from the prior response's next_since. OMIT on the first poll to prime the cursor at server-now.
priorityNoPriority filter (p0|p1|p2|p3)
customer_idNoOnly changes to this customer's jobs (UUID)
status_keysNoComma-separated status slugs — only surface changes to jobs in these statuses
scheduled_toNoFilter to (YYYY-MM-DD = end of that day in the business timezone, or RFC3339), exclusive
technician_idNoOnly changes to jobs assigned to this technician (UUID)
scheduled_fromNoFilter from (YYYY-MM-DD = start of that day in the business timezone, or RFC3339); range is [from, to)
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Beyond the annotations (readOnlyHint, etc.), the description discloses the 5-second safety window causing duplicates, ordered output, and pagination behavior with has_more. No contradictions with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is comprehensive yet efficient, front-loading the core purpose and ending with usage guidance. Every sentence serves a purpose without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema exists, but the description hints at response fields (id, next_since, has_more). It could specify the exact structure of job request items, but the usage context makes it sufficient for experienced users.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3. The description adds value by explaining usage patterns for 'since' and 'limit' and the role of filters, elevating clarity beyond raw schema definitions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool polls for new and changed job requests, explicitly distinguishing it from paginated listing (sibling listJobRequests). It uses specific verbs and resources, making its purpose unmistakable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides a step-by-step guide on initial and subsequent polls, storage of cursor, upsert handling, and when to poll again. It also advises on when not to use it, directing to listJobRequests for bulk load.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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