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clerk.update_oauth_application

Update an OAuth application 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 OAuth application summary.

Cost = 8 tokens.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoNew display name for the OAuth application.
publicNoWhether this is a public OAuth client (no client secret; PKCE-capable).
scopesNoSpace-delimited scopes (e.g. profile email public_metadata).
redirect_urisNoReplacement list of allowed redirect URIs.
clerk_instance_idNoClerk instance id (ins_...) from clerk.get_connected_accounts. Omit to use the default connected account.
oauth_application_idYesClerk OAuth application id (oa_...) to retrieve, update, or delete.
consent_screen_enabledNoWhether to show the OAuth consent screen during authorization.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
oauth_applicationNoUpdated Clerk OAuth application summary.

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?

No annotations are provided, so the description carries the full disclosure burden. It states that the tool returns the updated OAuth application summary and includes cost, but it does not warn about side effects (e.g., replacing redirect URIs) or clarify that unspecified fields remain unchanged. The mutation intent is clear from 'Update,' but richer disclosure would be beneficial.

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 short sentences, front-loaded with purpose. Each sentence provides distinct value: purpose, prerequisite/usage, return type, and cost. No wasted words.

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 purpose, usage prerequisite, return value, and cost. An output schema exists, so return details are covered. The main gap is the lack of explicit behavioral notes about partial update semantics or consequences, but given the high schema coverage, it 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% with detailed descriptions for each parameter (e.g., 'Replacement list of allowed redirect URIs,' 'Space-delimited scopes'). The description adds brief guidance for clerk_instance_id but does not provide much beyond what the schema already states. Baseline 3 is appropriate.

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 'Update an OAuth application in a connected Clerk application,' specifying the verb (update), resource (OAuth application), and context (connected Clerk application). This distinguishes it from sibling create/get/delete tools.

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 explicitly instructs the agent to call clerk.get_connected_accounts first and explains how to use clerk_instance_id to target a specific connection or fall back to the default account. This provides clear operational context, though it does not explicitly contrast with alternatives.

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.