Skip to main content
Glama

clerk.upload_oauth_application_logo

Upload or replace the logo image for 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
file_nameYesStored file name from files.list_uploaded_files. Upload with files.upload_file first.
uploader_user_idNoClerk user id (user_...) credited with the image upload.
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.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
oauth_applicationNoOAuth application summary with updated client_image_url.

Schema Changelog

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

  1. Changed1 schema field changed
    • changedInput schema / properties / file_name / description
      Previous value: -"Stored file name from meta-tools.list_uploaded_files. Upload with meta-tools.upload_file first."New value: +"Stored file name from files.list_uploaded_files. Upload with files.upload_file first."
  2. 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 disclose behavioral traits. It mentions the core behavior (upload/replace), the return value (updated OAuth application summary), and cost. However, it does not explain side effects of replacing an existing logo (e.g., whether the old logo is permanently deleted), permission requirements, or error conditions. This is adequate but not comprehensive.

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: a clear one-sentence purpose, a short prerequisite/parameter guidance, a return statement, and cost. Every sentence adds value and there is no redundant 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?

Given the tool's moderate complexity (4 params, output schema present) and full schema coverage, the description covers the main workflow: prerequisite connection setup, target selection, and return type. It could improve by noting the dependency on files.upload_file (though the schema does mention it) and any file type/size constraints, but overall it is sufficiently complete for an agent to invoke correctly.

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 does not add significant meaning beyond the schema; it reiterates the clerk_instance_id default behavior but does not elaborate on file_name format or uploader_user_id semantics. The provided guidance about 'Call clerk.get_connected_accounts first' is contextual, not parameter-specific.

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 tool's action: 'Upload or replace the logo image for an OAuth application'. This is a specific verb+resource pair that distinguishes it from sibling tools like update_oauth_application (which updates other settings) and create_oauth_application (which creates the app). The scope is further clarified by 'in a connected Clerk application'.

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 gives a clear prerequisite: 'Call clerk.get_connected_accounts first' and explains how to target a connection via clerk_instance_id or default to the default account. It does not explicitly mention alternatives or when not to use this tool, but the guidance provided is actionable and sufficient for basic usage.

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.