Skip to main content
Glama

clerk.update_instance_oauth_settings

Update OAuth settings for a connected Clerk instance.

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 OAuth settings.

Cost = 8 tokens.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
clerk_instance_idNoClerk instance id (ins_...) from clerk.get_connected_accounts. Omit to use the default connected account.
oauth_jwt_access_tokensNoWhether OAuth access tokens should be issued as JWTs.
dynamic_oauth_client_registrationNoWhether dynamic OAuth client registration should be enabled.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
oauth_settingsNoUpdated Clerk instance OAuth settings from the Backend API.

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 provided, the description must carry the full burden of behavioral disclosure. It mentions the prerequisite call, the ability to target specific connections, and that it returns updated settings, plus a cost note. However, it does not disclose potential side effects, permission requirements, or whether the update is reversible, which would be valuable for an update tool.

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 compact—four short sentences, each adding value: the core action, a prerequisite, a targeting rule, and a return/cost note. No filler words or redundant content. Front-loaded with the main purpose.

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 covers the essential context: prerequisite, targeting options, and return value. With an output schema present (though not shown), it doesn't need to enumerate return fields. It could be more thorough about side effects or permissions, but given the tool's simple scope (3 optional booleans), this is largely complete.

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 coverage is 100%, and the description repeats some of the schema's information about `clerk_instance_id` (e.g., 'omit it to use the default account'). It does not add meaningful interpretation beyond the schema for the boolean parameters. Baseline 3 is appropriate since the schema already documents all parameters adequately.

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 begins with a specific verb+resource: 'Update OAuth settings for a connected Clerk instance.' This clearly distinguishes it from sibling tools like `clerk.get_instance_oauth_settings` (read-only) and `clerk.update_instance_settings` (broader scope). The phrasing makes the tool's purpose unambiguous.

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 provides explicit usage prerequisites: 'Call clerk.get_connected_accounts first' and explains how to target a connection vs. using the default account. It does not explicitly state when to avoid this tool or name alternatives, but the context is clear enough for correct selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

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.