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List records

knack_list_records
Read-only

List an object's records. Knack API: GET /objects/{object_key}/records. Returns the paged envelope { total_pages, current_page, total_records, records: [...] } as-is. Records carry both field_x (formatted) and field_x_raw (structured) values. Page with page / rows_per_page (max 1000), sort with sort_field / sort_order, and filter with the filters object.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number (default 1).
filtersNoOptional Knack filter object, JSON-stringified into the `filters` query param. Shape: { "match": "and"|"or", "rules": [{ "field": "field_1", "operator": "is", "value": "Acme" }] }. Common operators: contains, does not contain, is, is not, starts with, ends with, higher than, lower than, is blank, is not blank.
objectKeyYesThe Knack object (table) key, e.g. "object_1".
sort_fieldNoField key to sort by, e.g. "field_25".
sort_orderNoSort direction: "asc" or "desc".
rows_per_pageNoRecords per page (1-1000, default 25).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior5/5

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

Annotations declare readOnlyHint: true. The description goes beyond by detailing the response envelope (total_pages, current_page, total_records, records) and the fact that records contain both formatted and raw field values. It also explains the filter structure, providing comprehensive behavioral context.

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 concise (three sentences) and front-loaded: first sentence states purpose, second explains response, third covers options. Every sentence earns its place with no 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?

Given no output schema, the description adequately explains the return envelope and filter structure. A minor gap: it does not mention the default value for rows_per_page (25), but overall completeness is high.

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 description coverage is 100%, so baseline is 3. The description adds value by explaining the paged envelope and the filter object's shape, which provides semantic meaning beyond the schema's parameter descriptions.

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

Purpose4/5

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

The description clearly states it lists an object's records and references the API endpoint. It distinguishes the tool from siblings like knack_get_record by implying bulk retrieval, but does not explicitly differentiate from single-record retrieval.

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

Usage Guidelines3/5

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

The description explains how to use pagination, sorting, and filtering, but does not explicitly state when to use this tool versus alternatives (e.g., when to list vs. get a single record). Usage context is implied but not explicit.

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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