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Folk MCP by usefulapi

List groups

folk_list_groups
Read-only

List groups in the Folk workspace (ids needed to place people/companies). Folk REST: GET /v1/groups.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoResults per page (1-100, default 20).
cursorNoPagination cursor — pass the value from a previous page's pagination.nextLink to fetch the next page.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, so safety is covered. The description adds the underlying REST endpoint mapping (GET /v1/groups) but says nothing about pagination behavior, result ordering, or whether all groups are returned — gaps that matter for a paginated list.

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?

Two short, front-loaded sentences with zero filler: purpose and rationale first, endpoint mapping as a trailing reference. Nothing needs trimming.

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 two-parameter read-only list tool with no output schema, the description plus annotations cover what an agent needs; it implies group ids are returned. Minor gaps (pagination expectations, whether results are scoped) keep it from a 5.

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 100%, with limit and cursor fully documented in the schema. The description adds no parameter-level detail, so the baseline of 3 applies.

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?

States a specific verb and resource ("List groups") plus the reason they matter ("ids needed to place people/companies"), which is more than a tautology. It doesn't explicitly differentiate from siblings like folk_list_companies, though the distinct resource name makes the boundary inferable.

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 parenthetical "ids needed to place people/companies" implies the upstream workflow that motivates calling this tool, but there is no explicit when-to-use, when-not, or named alternative among the many list_* siblings. Usage is only implied.

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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