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clerk.update_enterprise_connection

Update an enterprise SSO 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 the updated enterprise_connection summary.

Cost = 8 tokens.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoUpdated display name for the connection.
oidcNoUpdated OIDC client configuration.
samlNoUpdated SAML IdP configuration.
activeNoWhether the connection is active.
domainsNoUpdated domain list (replaces existing domains when provided).
connection_idYesClerk enterprise connection id (entc_...) to retrieve, update, delete, or test.
organization_idNoClerk organization id (org_...) to link to this connection.
clerk_instance_idNoClerk instance id (ins_...) from clerk.get_connected_accounts. Omit to use the default connected account.
custom_attributesNoUpdated custom attribute mappings.
sync_user_attributesNoWhether to sync user attributes on each sign-in.
allow_organization_account_linkingNoWhether account linking via organization membership is allowed.
disable_additional_identificationsNoWhether to block additional identifications for this connection.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
enterprise_connectionNoUpdated enterprise SSO connection.

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 the full burden for behavioral disclosure. It mentions the return value ('Returns the updated enterprise_connection summary') and a prerequisite, but does not disclose potential side effects (e.g., overwriting existing configs), permission requirements, or reversibility. Adds some context but leaves significant 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 concise and well-structured, front-loading the purpose in the first sentence. Each sentence adds value: purpose, prerequisite, targeting, return value, and cost. No filler or repetition.

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?

Given 12 parameters with full schema descriptions and an output schema, the description provides sufficient high-level context: what the tool does, how to select the instance, and what it returns. It could be more explicit about partial update behavior, but the schema already implies it via null defaults.

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%, so the baseline is 3. The description's only param-related note (pass or omit clerk_instance_id) is already present in the schema's description for that parameter, adding no extra semantic value 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 opens with 'Update an enterprise SSO connection in a connected Clerk application,' using a specific verb and resource. This clearly differentiates it from sibling tools like create_enterprise_connection, get_enterprise_connection, and delete_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?

It instructs to 'Call clerk.get_connected_accounts first' and explains how to target a specific connection via clerk_instance_id or use the default account. This provides clear context for usage, though it does not explicitly contrast with alternative tools like create or delete.

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.