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Get App Feed Events

get_feed_events
Read-only

Poll a v2 app's change feed for what has happened: row creates, updates and deletes, from any writer, agent or human. It is the long-poll analogue of homespun apps watch, since MCP has no streaming. The loop is: call with no since first, process the returned entries, keep the cursor, then call again passing it as since to get only newer entries. Passing wait (around 25) holds the request open until an entry arrives or it times out, which is how the feed is waited on rather than busy-polled. A since older than the retention floor returns resync_required, and the collections are then re-listed with list_rows. Returns { entries, cursor, truncated }.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
waitNoOptional long-poll: how long the relay holds the request open waiting for a new entry (0-30s). Use ~25 when waiting for activity, then call again with the same cursor.
limitNoMax entries per page (capped server-side by FEED_PAGE_MAX).
sinceNoOpaque numeric cursor from a previous call's cursor. Omit (or 0) to read from the beginning.
app_idYesThe app id.

TDQS

A4.8/5.0
Behavior5/5

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

Adds significant behavioral context beyond annotations: the polling mechanism, cursor usage, long-poll behavior with wait, and error handling (resync_required). No contradiction 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?

Medium-length paragraph with clear logical flow: purpose, usage pattern, parameter explanation, error handling, return shape. Every sentence adds value, no waste.

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?

Covers essential behaviors (polling loop, cursor, long-poll, error, return) but could mention retention floor details. Still complete enough for correct agent usage.

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?

Input schema has 100% coverage, but the description adds practical usage guidance for each parameter (e.g., wait for long-poll, since as cursor, limit for pagination), enhancing understanding beyond schema descriptions.

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 it polls a v2 app's change feed for row creates, updates, and deletes, and distinguishes itself from siblings like list_rows.

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?

Explicitly describes the polling loop, when to use wait, and what to do on resync_required (re-list with list_rows), providing clear context for when to use this tool vs alternatives.

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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TDQS

A4.1/5.0
Disambiguation4/5

Most tools are clearly distinct, with row operations (list, get, upsert, update, delete, restore) well separated. Some boundaries like apps vs deploy_app and credentials vs grants require careful reading, but descriptions resolve the overlap.

Naming Consistency2/5

Tool names mix resource nouns (apps, attachments, connections) with verb_noun actions (delete_row, deploy_app). Singular and plural forms are inconsistent, and there is no uniform pattern across the set.

Tool Count3/5

24 tools is on the heavy side, but the platform's breadth (app deployment, data, auth, community) justifies the count. Each tool has a distinct role, though the set slightly exceeds the typical well-scoped range.

Completeness4/5

The surface covers the full app lifecycle: deploy, manage, delete, row CRUD with restore, attachments, credentials, and community features. Minor gaps like no dedicated row search or outbound webhook management are workable via existing tools.