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jupiterbak

AYX-MCP-Wrapper

by jupiterbak

get_user_by_first_name

Retrieve user details from Alteryx Servers by specifying their first name to manage user information within workflows and collections.

Instructions

Get a user by their first name

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
first_nameYes

Implementation Reference

  • The core handler function in AYXMCPTools class that executes the tool logic by querying the Alteryx server Users API for users matching the given first name and returns formatted response or error.
    def get_user_by_first_name(self, first_name: str):
        """Get a user by their first name"""
        try:
            api_response = self.users_api.users_get_users(first_name=first_name)
            return pprint.pformat(api_response)
        except ApiException as e:
            return f"Error: {e}"
  • The MCP tool registration using FastMCP's @app.tool() decorator. This wrapper function delegates the call to the underlying tools instance's get_user_by_first_name method.
    @self.app.tool()
    def get_user_by_first_name(first_name: str):
        """Get a user by their first name"""
        return self.tools.get_user_by_first_name(first_name)
Behavior1/5

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

No annotations are provided, so the description carries the full burden. It only states the action without disclosing behavioral traits such as read-only vs. mutative nature, permissions required, rate limits, or what happens if multiple users share the same first name. This leaves critical operational details unspecified.

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 a single, efficient sentence with zero wasted words, front-loading the core purpose. It is appropriately sized for a simple lookup tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the lack of annotations and output schema, the description is incomplete. It doesn't address behavioral aspects like safety, return values, or error handling, which are essential for a tool that interacts with user data. The simplicity of the tool mitigates this slightly, but gaps remain.

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

Parameters2/5

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

Schema description coverage is 0%, with one parameter (first_name) documented only by title and type in the schema. The description adds minimal semantics by confirming the parameter's purpose but lacks details on format, constraints, or case sensitivity, failing to compensate for the low coverage.

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 the verb ('Get') and resource ('user'), specifying the lookup method ('by their first name'). It distinguishes from siblings like get_user_by_email and get_user_by_id by indicating the specific identifier used, though it doesn't explicitly contrast them.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives like get_user_by_email or get_user_by_id. The description implies usage for first-name-based lookups but offers no context about uniqueness, duplicates, or prerequisites.

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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