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fivetran

Fivetran MCP Server

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by fivetran

roles_read

Retrieve role information from Fivetran using the roles_read endpoint. Access details on roles and permissions for your Fivetran environment.

Instructions

Read operations on Fivetran roles (1 endpoints: list_all_roles). Pass the endpoint name in name. Call list_endpoints(category='roles') 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

A4/5.0
Behavior3/5

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

Annotations are absent, so the description carries the full behavioral burden. It discloses this is a safe read-only operation ('Read operations') and reveals the internal implementation detail that this is a thin wrapper around an endpoint dispatcher. It does not describe response formats, pagination, or failure modes, but for a generic dispatcher with a single read-only endpoint, the disclosure is adequate, earning a solid 3.

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 focused sentences, both earning their place: the first states what the tool covers, and the second gives the single critical usage instruction. Information is front-loaded with no filler or 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?

For a generic dispatcher tool with 4 parameters, nested objects, and no output schema, the description with its pointer to list_endpoints for the authoritative endpoint list is sufficient. The agent can enumerate available endpoints dynamically rather than needing hardcoded documentation. A brief note about return format would push it to 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%, establishing a baseline of 3. The description adds value by clarifying that `name` accepts an endpoint name from list_endpoints and that exactly one endpoint (list_all_roles) is available, which disambiguates the primary parameter's valid values. However, the description does not elaborate on `query`, `path_params`, or `body` semantics 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?

Clear specific verb+resource: 'Read operations on Fivetran roles' with the concrete endpoint name 'list_all_roles'. It is clearly distinguished from sibling tools by naming the exact resource group (roles), and the instruction to use list_endpoints for the full endpoint list disambiguates from the other *_read siblings.

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 instructs how to invoke the tool ('Pass the endpoint name in `name`') and points to an alternative/complementary tool for endpoint discovery: 'Call list_endpoints(category='roles') for the full list'. This provides clear context and an explicit alternative, though it does not enumerate when-not-to-use cases since this is effectively the designated read dispatcher.

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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