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aerolalit

Pane

List Records

list_records
Read-only

Retrieve and poll mutable records (todos, shopping lists, kanban boards) from a pane. Pass a prior cursor to fetch only new or changed rows, and include tombstones to track deletions.

Instructions

List rows in a pane's mutable record collection (todo list, shopping list, kanban board, comment thread). Records are the right primitive when the page shows several mutable items and the CURRENT state matters more than the history. This also doubles as the POLL/watch for records (no streaming in MCP): pass the prior next_since to fetch only newer/changed rows. include_tombstones:true surfaces deletions. Returns { records, next_since, has_more }.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoOptional page size (max 200).
sinceNoOptional cursor (next_since from a prior call). Also the POLL handle: to watch a collection (no streaming in MCP), call repeatedly passing the previous next_since to fetch only newer/changed rows.
pane_idYesThe pane id.
collectionYesThe record collection name declared in the pane's record schema.
include_tombstonesNoInclude soft-deleted rows (deleted_at set) so you can observe deletions. Default false.
Behavior5/5

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

Annotations declare readOnlyHint=true. The description adds return value details (records, next_since, has_more), explains include_tombstones for deletions, and clarifies polling behavior. 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.

Conciseness4/5

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

The description is concise, front-loaded with main purpose, and efficiently adds polling and return info. No unnecessary sentences, though could be slightly more structured.

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?

Given 5 parameters and no output schema, the description adequately covers return format, polling, and deletions. It is complete enough for an agent to use the tool correctly, though examples or edge cases could enhance.

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 covers all 5 parameters with descriptions (100% coverage). The description adds context for the 'since' parameter as a polling handle and for 'include_tombstones' as surfacing deletions, adding value beyond schema.

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 lists rows in a pane's mutable record collection. It differentiates from sibling tools like get_record by focusing on listing all records, and adds the polling/watch aspect.

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 guidance on when to use records (when page shows mutable items and current state matters) and how to poll via the since parameter. It implicitly excludes uses where history matters more, but does not explicitly contrast with alternatives like get_record.

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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