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clerk.create_enterprise_connection_test_run

Start an SSO test flow for an enterprise connection in a connected Clerk application.

Call clerk.get_connected_accounts first. Pass clerk_instance_id to target a specific connection, or omit it to use the default account.

Returns a short-lived url that opens the IdP test flow.

Cost = 8 tokens.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
connection_idYesClerk enterprise connection id (entc_...) to retrieve, update, delete, or test.
clerk_instance_idNoClerk instance id (ins_...) from clerk.get_connected_accounts. Omit to use the default connected account.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoShort-lived URL to start the enterprise SSO test flow.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Added

TDQS

A4.2/5.0
Behavior3/5

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

No annotations are provided, so the description carries full burden. It discloses the return value ('short-lived url') and implies a test flow, but does not mention potential side effects such as creating a test run record (suggested by sibling list_enterprise_connection_test_runs) or any required permissions. This is useful but incomplete.

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?

Four sentences, front-loaded with the main purpose, and no wasted words. Each sentence adds meaning: purpose, prerequisite/parameter usage, return value, and cost. Ideal conciseness for a tool of this complexity.

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?

With an output schema present, the description doesn't need to detail return structure. It covers the prerequisite, how to target a connection, and the nature of the return. Could mention side effects or the connection_id format, but overall it is complete enough for this simple tool.

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%, so a baseline of 3 applies. The description adds value by instructing to call get_connected_accounts first and clarifies when to pass clerk_instance_id, supplementing the schema's parameter descriptions and providing context beyond the schema.

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 the action: 'Start an SSO test flow for an enterprise connection in a connected Clerk application.' It uses specific verb+resource and distinguishes from siblings like create_enterprise_connection or list_enterprise_connection_test_runs by focusing on the test flow initiation.

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?

Provides explicit usage context with 'Call clerk.get_connected_accounts first' and explains how to choose the clerk_instance_id ('Pass clerk_instance_id to target a specific connection, or omit it to use the default account'). It lacks explicit when-not-to-use or alternative tool suggestions, but the clear prerequisite and parameter guidance make it a 4.

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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TDQS

A4.1/5.0
Disambiguation5/5

Each tool has a distinct purpose, further clarified by group prefixes and clear descriptions. Within each group, tools perform different operations (e.g., domains.lookup vs. domains.whois vs. domains.rdap) with no ambiguity.

Naming Consistency5/5

All tools follow a consistent group.tool_name pattern using snake_case. The naming is predictable and uniformly applied across all groups.

Tool Count4/5

78 tools is high, but the server aggregates multiple distinct API domains (11 groups). Each group has a reasonable number of tools, typically under 10, with TikTok having 17. The count reflects breadth, not bloat.

Completeness5/5

Each domain's tool set covers the primary expected operations (e.g., search, details, reviews, metrics, user info). There are no obvious gaps for read-only analytical use; features like posting are likely out of scope.