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Skool: Approve membership request

skool_approve_membership_request

Skool: Let an applicant into the group. Your AutoDM, if set, goes out as usual. Approves one pending request, so the applicant becomes a member. Your AutoDM, if you set one, goes out as usual. By default you confirm each call; you can switch that off for this tool. Reaches other people: confirm with the user before each call. Needs the user's Cotlet API key with access to this app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
groupYesGroup URL name, e.g. 'yourgroup' for skool.com/yourgroup.
request_idYesRequest ID from list_membership_requests.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations cover the safety profile (readOnlyHint=false, destructiveHint=false, openWorldHint=true), but the description adds real behavioral context they don't: approving triggers the configured AutoDM to the applicant, the action reaches another person, and the user's Cotlet API key must have app access. The duplicated AutoDM sentence dilutes this, but the substance is above the annotation bar.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The AutoDM sentence is stated twice ('Your AutoDM, if set, goes out as usual' and 'Your AutoDM, if you set one, goes out as usual'), so a full sentence fails to earn its place. The lead sentence is correctly front-loaded, but the redundancy and the pile-up of confirmation/key boilerplate make it structurally sloppy for a two-parameter tool.

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 mutation tool with annotations, a fully documented two-parameter schema, and no output schema, the description covers the material gaps: the outbound AutoDM side effect, the human-in-the-loop confirmation behavior, and the API-key requirement. Nothing critical to correct invocation is missing.

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 both parameters (group URL name, request_id) are fully documented downstream. The description adds only that the ID is for 'one pending request' and is sourced from list_membership_requests, which is minor beyond the schema baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb + resource + effect: 'Approves one pending request, so the applicant becomes a member' and 'Let an applicant into the group.' An agent can identify this as a single-request approval action. It does not name the sibling it contrasts with (skool_decline_membership_request), so it stops short of full sibling differentiation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives operational guidance ('By default you confirm each call; you can switch that off'; 'Reaches other people: confirm with the user before each call') and ties the input to list_membership_requests, implying the workflow. However it never states when to choose approval over decline or how to pick which request to approve, so usage is only implied.

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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