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Vaquill-AI/vaquill-mcp

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by Vaquill-AI

list_watch_changes

List added, amended, or removed sections from a watched legal source, newest first, with pagination and filtering by change type.

Instructions

The sections this watch's source added, amended, or removed, newest first. This is the per-item detail behind the counts in a notification: not "3 sections changed" but which three.

Scoped to the watch's own lifetime, so it lists only changes the watch was subscribed for. Changes the source made before you started watching it are not included, because they were never notified.

Safe to poll alongside a webhook or email watch. This endpoint is read-only and there is no server-side 'last checked' state to interfere with: notifications fire when a corpus refresh completes, not by comparing against a watermark, and nothing here writes one. Polling cannot suppress, advance, or double-fire a delivery. (lastNotifiedAt on the watch records the outcome of the last delivery attempt for your visibility; it is never an input.)

Paging. Pass sinceId with meta.cursor from your previous page to get only what is new. meta.hasMore is true when the page filled to limit, so keep calling with the new cursor until it is false. Use order=asc while catching up.

changeKind is added (a new section), amended (its content was replaced), or removed (it disappeared from a full refresh of the source). citation and title are null for corpora that do not carry them.

Free.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax changes to return.
orderNo`desc` (default) is newest first, for showing a recent-activity list. Use `asc` when catching up from a cursor: walking forward means a page that hits `limit` leaves the gap at a known end.desc
sinceNoReturn only changes detected strictly after this ISO-8601 timestamp. Coarser than `sinceId` (a single refresh writes many rows at the same instant), but useful when all you kept was the `detectedAt` from a webhook body. Both may be combined.
sinceIdNoReturn only changes with an `id` greater than this. The cursor to build on: ids are a monotonic sequence, so this is exact, immune to clock skew, and cannot drop two changes that share a timestamp. Carry `meta.cursor` forward from your last page.
watch_idYes
changeKindNoFilter to these kinds. Repeat the parameter to pass several (`?changeKind=added&changeKind=amended`). Omit for all three.
Behavior5/5

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

With no annotations provided, the description fully carries the burden of behavioral disclosure. It explicitly states the endpoint is read-only, has no server-side 'last checked' state, does not interfere with deliveries, and explains paging semantics (meta.cursor, meta.hasMore) and changeKind meanings. This is exemplary transparency beyond what annotations would have supplied.

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 well-structured with bold topic labels (scoping, safety, paging, changeKind, cost). Each paragraph earns its place by addressing a distinct aspect. It is front-loaded with the core purpose and remains concise despite covering multiple behavioral details.

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

Completeness5/5

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

There is no output schema, so the description compensates by explaining return semantics: it lists per-item changes, mentions null citation/title for certain corpora, and describes meta.cursor/meta.hasMore behavior. Combined with the schema's parameter descriptions, this is complete enough for an agent to correctly invoke and interpret results.

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?

The schema already covers 83% of parameters with detailed descriptions. The tool description adds interaction-level semantics: how sinceId and meta.cursor combine for paging, why order=asc is best for catch-up, and the meaning of changeKind values. It does not add much about watch_id but is not needed since the watch scoping is clear from the description.

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 opening sentence explicitly defines the tool as listing sections a watch's source added, amended, or removed, newest first. It also distinguishes the tool from mere notification counts ('not "3 sections changed" but which three'), making the purpose clear and differentiating it from sibling tools like get_watch_change_diff and list_watch_deliveries.

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

Usage Guidelines4/5

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

The description provides clear usage context: it is scoped to the watch's own lifetime, safe to poll alongside webhook/email watches, and includes paging guidance (using sinceId with meta.cursor, order=asc while catching up). It does not explicitly name alternative tools for when-not-to-use, but the 'per-item detail behind counts' phrasing positions it against count-level notifications.

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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