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clerk.delete_waitlist_entry

Delete a pending waitlist entry 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 Clerk deleted-object payload.

Cost = 10 tokens.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
clerk_instance_idNoClerk instance id (ins_...) from clerk.get_connected_accounts. Omit to use the default connected account.
waitlist_entry_idYesClerk waitlist entry id (wle_...) to operate on.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
deletedNoClerk deleted-object payload.

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 burden. It clearly indicates the destructive nature ('Delete') and scopes to 'pending' entries, and discloses the return payload and token cost. However, it does not mention permanence, required permissions, or potential side effects on related data, which would be valuable for a delete operation.

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 sentences, front-loaded with the primary action, followed by the prerequisite, return value, and cost. Every sentence adds useful information 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?

For a simple two-parameter delete tool with an output schema, the description covers the action, prerequisite, connection targeting, and return value. It is adequate for an agent to invoke correctly, though it would benefit from a note distinguishing this from reject_waitlist_entry.

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%, with both clerk_instance_id and waitlist_entry_id already described in detail. The description restates the clerk_instance_id usage ('pass to target a specific connection, or omit to use the default') without adding new semantic information beyond the schema, so the baseline of 3 applies.

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?

Description uses the specific verb 'Delete' with the resource 'pending waitlist entry' in a Clerk application, making the action unambiguous. It clearly distinguishes from siblings like create_waitlist_entries, list_waitlist_entries, and reject_waitlist_entry, which have different purposes.

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 states a prerequisite: call clerk.get_connected_accounts first. It also explains how to target a specific connection via clerk_instance_id or default to the default account. However, it does not explicitly mention when to prefer this over reject_waitlist_entry, which is a close sibling.

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.