Skip to main content
Glama
SmartSuiteFoundry

SmartSuite MCP Server

smartsuite_list_records

Read-only

List records from a SmartSuite application, with options for field projection, sorting, pagination, and compact format to reduce token usage.

Instructions

List records from a SmartSuite application. Use smartsuite_describe_application first to learn field slugs. For large result sets, pass format:"compact" and a fields projection to cut token usage substantially.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idsNoFetch specific records by ID. When provided, filter and cursor are ignored.
sortNo
limitNoMax records to return (default 50, max set by server config)
cursorNoPagination cursor from a previous response
fieldsNoField slugs to include (empty = all fields). Projecting only the fields you need is the biggest token saver.
formatNo"json" (default) = array of record objects. "compact" = { columns, rows } table where field names appear once instead of on every record — materially fewer tokens for large lists, lossless for scalar values. Prefer "compact" for big result sets.
applicationIdYesThe application ID
includeFieldContextNoWhen true, adds a _fieldContext map to the response with label, type, helpText, and linked field info for each slug. Defaults to SMARTSUITE_AI_ENRICHED_RECORDS server setting.
Behavior3/5

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

Annotations declare readOnlyHint=true, so the description does not need to re-state safety. It adds token-saving tips but no additional behavioral traits like pagination behavior or rate limits. The description contributes marginal value beyond the 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 three sentences, each earning its place: purpose, prerequisite, optimization tip. No wasted words, clearly front-loaded, and efficiently 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?

For a read-only list tool with 8 parameters and no output schema, the description covers the response format (json vs compact), pagination (cursor), and a helpful prerequisite. It is mostly complete but could mention error handling or rate limits.

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

Parameters3/5

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

Schema description coverage is high (88%), so the baseline is 3. The description adds usage advice (e.g., using compact format and fields projection to save tokens) but does not significantly enhance parameter meanings beyond what the schema already provides.

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 'List records from a SmartSuite application' with a specific verb and resource. It also hints at a prerequisite using another tool, which adds clarity. Although siblings like smartsuite_search_records exist, the purpose is unambiguous and well-defined.

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 explicitly advises using smartsuite_describe_application first to learn field slugs and recommends using format:"compact" with a fields projection for large result sets. It provides clear context on when to use certain parameter options but does not exclude alternative tools like search_records.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/SmartSuiteFoundry/smartsuite-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server