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clerk.create_organization_role

Create a new organization role 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 new role summary.

Cost = 10 tokens.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyYesUnique role key.
nameYesRole display name.
descriptionNoRole description.
permissionsNoPermission keys to assign to the new role.
clerk_instance_idNoClerk instance id (ins_...) from clerk.get_connected_accounts. Omit to use the default connected account.
include_in_initial_role_setNoWhether to include this role in the initial role set.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
organization_roleNoNewly created organization role summary.

Schema Changelog

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

  1. Added

TDQS

A4.2/5.0
Behavior4/5

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

No annotations are provided, so the description carries the behavioral burden. It adds value by disclosing the cost (10 tokens), the return value (new role summary), and the connection-selection behavior. It does not discuss failure modes or permissions, but the mutation is implied by 'Create' and the extra details go beyond the structured data.

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?

Four terse, purposeful sentences: purpose, prerequisite/connection instruction, return value, and cost. Nothing is redundant or wasted, and the most important information is front-loaded.

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?

The description provides the essential operational context: prerequisite call, default vs. targeted connection, return summary, and cost. Combined with the full schema coverage and output schema, this is sufficiently complete for reliable invocation, though error/duplicate-key behavior is not mentioned.

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?

The schema already provides 100% description coverage for all six parameters, so the baseline is 3. The description only restates the clerk_instance_id behavior already present in the schema, adding no new parameter-level meaning.

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 uses a specific verb ('Create') and resource ('new organization role in a connected Clerk application'), making the tool's function unmistakable. It also clearly distinguishes this from sibling tools like create_organization_permission and update_organization_role.

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?

It explicitly states a prerequisite: 'Call clerk.get_connected_accounts first.' It also clarifies how to target a specific connection vs. the default account. It does not enumerate alternatives, but the usage context is clear enough for an agent to execute correctly.

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.