Skip to main content
Glama

clerk.list_waitlist_entries

List waitlist entries 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 waitlist entry summaries and total_count.

Cost = 5 tokens.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of waitlist entries to return (1–500).
queryNoFilter by email address or waitlist entry id.
offsetNoNumber of waitlist entries to skip before returning results.
statusNoOptional status filter: "pending", "invited", "rejected", or "completed".
order_byNoSort order: created_at, email_address, or invited_at with optional + or - prefix. Defaults to -created_at.
clerk_instance_idNoClerk instance id (ins_...) from clerk.get_connected_accounts. Omit to use the default connected account.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
total_countNoTotal number of waitlist entries on this page.
waitlist_entriesNoWaitlist entries returned for the requested page.

Schema Changelog

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

  1. Added

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses the need for a prior connection call, the return shape ('waitlist entry summaries and total_count'), and even the token cost. It does not mention side effects, but as a list operation none are expected; the connection prerequisite and cost add valuable behavioral context.

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 four short, focused sentences. It front-loads the primary action, then provides prerequisite, parameter guidance, return info, and cost in a logical order. Every sentence adds value with no redundancy or 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?

An output schema exists, so the description need not detail return fields; it still notes the key return components. The description covers the essential operational context (connection prerequisites, instance selection, cost) and relies on the rich input schema for parameter details. It is complete for a list tool, though slightly more detail on pagination could push it higher.

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 the baseline is 3. The description adds meaning beyond the schema by clarifying the role of clerk_instance_id (target a specific connection or default) and framing all parameters within the context of a connected Clerk application. This extra guidance justifies a score above baseline.

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 a clear verb+resource statement: 'List waitlist entries in a connected Clerk application.' This precisely identifies the tool's function and distinguishes it from sibling tools like list_users, create_waitlist_entries, or invite_waitlist_entry. The scope (connected Clerk application) is also made explicit.

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 choose between instances ('Pass clerk_instance_id... or omit it to use the default account'). It does not explicitly name alternative tools, but for a simple list operation the context is sufficient and unambiguous.

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.