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clerk.delete_enterprise_connection

Delete an enterprise SSO connection from 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 the deleted enterprise connection object from Clerk.

Cost = 10 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
enterprise_connectionNoDeleted enterprise connection object returned by Clerk.

Schema Changelog

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

  1. Added

TDQS

A4/5.0
Behavior3/5

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

With no annotations, the description carries full burden. It discloses the return value and the cost, but does not mention irreversibility, required permissions, error conditions, or side effects beyond 'Delete'. This adds some context but leaves important behavioral gaps.

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 four sentences, each serving a clear purpose: purpose, usage instruction, return value, and cost. It is front-loaded with the core action, with no redundant or vague filler.

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 includes a prerequisite, parameter targeting instruction, return value disclosure, and cost. With an output schema present, return details are covered. However, it omits failure scenarios and permission requirements, which would make it more complete for a destructive operation.

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% for both parameters, so the schema already defines connection_id and clerk_instance_id thoroughly. The description reinforces the instance id behavior with 'Pass clerk_instance_id to target a specific connection, or omit it to use the default account' but adds no substantial new meaning over 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 opens with 'Delete an enterprise SSO connection from a connected Clerk application', which is a specific verb+resource statement. It clearly distinguishes from sibling tools like get_enterprise_connection, update_enterprise_connection, and create_enterprise_connection.

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 prerequisite: 'Call clerk.get_connected_accounts first' and explains when to pass clerk_instance_id vs omit it to use the default account. This gives clear context for usage, though it does not explicitly name alternative tools or when-not-to-use scenarios.

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.