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fivetran

Fivetran MCP Server

Official
by fivetran

groups_read

Retrieve Fivetran group data: view details, service accounts, SSH keys, connections, and users. Resolve group-level access and configuration questions without switching contexts.

Instructions

Read operations on Fivetran groups (6 endpoints: group_details, group_service_account, group_ssh_public_key, list_all_connections_in_group, list_all_groups, list_all_users_in_group). Pass the endpoint name in name. Call list_endpoints(category='groups') for the full list.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyNoRequest body — dict or JSON string. Required for POST/PATCH endpoints.
nameYesEndpoint name within this resource:action group (from list_endpoints).
queryNoQuery-string parameters.
path_paramsNoValues for path placeholders like {connectionId}, {groupId}.
Install Server

TDQS

A3.9/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, but it does not disclose behavioral details such as pagination, rate limits, or the shape of the response. It does add value by listing the six endpoints and explaining the dynamic routing mechanism, which is not obvious from the schema alone. However, it does not mention whether any of these read operations have side effects (e.g., generating SSH keys) or require specific authentication, which could be relevant.

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 two sentences and immediately gets to the point. It front-loads the purpose, lists the supported endpoints in parentheses, and gives a clear call to action. Every sentence earns its place, and the length is appropriate for a tool that wraps six endpoints.

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?

The description covers a lot of ground for a tool that wraps six endpoints, and the pattern of pointing to list_endpoints for the full list is a good discovery mechanism. It is slightly less complete because it does not mention the response format, which could be a list of objects for some endpoints, but the agent is told to use list_endpoints for more details. Given that the tool is a generic wrapper, the description is rather complete, though an example of how to pass path_params would be nice.

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 coverage is 100% for the generic parameters (name, body, query, path_params), and the description adds critical context by explaining how `name` is used to route to an endpoint. This is a bonus. However, the description does not document the specific parameters for each endpoint, which could leave the agent guessing. The description partially compensates by telling the agent to call list_endpoints for the full list, so it gets credit for directing the agent to authoritative schema information.

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 defines the tool as handling 'Read operations on Fivetran groups' covering 6 specific endpoints, which distinguishes it from sibling tools. However, the connection to actual endpoints is indirect since the description focuses on a generic wrapper rather than a specific action; the comparison to siblings like connections_read and users_read narrows scope. It rates slightly below a 5 because the name is read-centric but the underlying operations, like list_all_connections_in_group, slightly blur the boundary with the connections resource, whereas the description does not explicitly clarify these edge cases. The resource is clear: Fivetran groups.

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 instruction 'Pass the endpoint name in `name`. Call list_endpoints(category=''groups'') for the full list' provides clear, explicit usage context and references an alternative/discovery mechanism. While it does not explicitly say 'do not use for write operations', the description's 'Read operations' prefix and the endpoint list make this exclusion apparent. It is slightly less explicit than ideal because it does not mention sibling tools like connections_read for the case of listing connections within a group, but it does direct the agent to the right discovery call.

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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