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clerk.get_api_key

Retrieve API key metadata by id 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 API key summary without the secret.

Cost = 3 tokens.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_key_idYesClerk API key id (ak_...) to retrieve, update, delete, or revoke.
clerk_instance_idNoClerk instance id (ins_...) from clerk.get_connected_accounts. Omit to use the default connected account.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNoClerk API key metadata from the Backend API.

Schema Changelog

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

  1. Added

TDQS

A4.2/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses the return behavior ('summary without the secret') and cost ('Cost = 3 tokens'), but does not explicitly state read-only safety, auth needs, or error conditions. The verb 'Retrieve' implies read-only, but more explicit disclosure would strengthen this.

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 five short, front-loaded sentences. Every sentence earns its place: purpose, prerequisite, parameter guidance, return behavior, and cost. No fluff or redundancy.

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 simplicity and the presence of an output schema (which explains return values), the description covers essential context: purpose, usage prerequisite, parameter default, and cost. It lacks mention of error handling or rate limits, but those are not critical for a simple read with an output schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3. The description adds meaning by explaining clerk_instance_id's default behavior ('omit it to use the default account') and the prerequisite get_connected_accounts, which enriches the schema definition. api_key_id is not elaborated, but schema already covers it.

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 'Retrieve API key metadata by id from a connected Clerk application' with a specific verb and resource. It distinguishes itself from siblings like get_api_key_secret by explicitly noting 'without the secret' and from list_api_keys by focusing on a specific id.

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 clear prerequisite: 'Call clerk.get_connected_accounts first' and explains how to target a connection via clerk_instance_id or use the default account. Does not explicitly mention when to use alternatives (e.g., get_api_key_secret for secrets), but the context is strong.

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.