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clerk.list_sessions

List sessions 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 session id, user_id, status, last_active_at, and expire_at for each session.

Cost = 5 tokens.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of sessions to return (1–500).
offsetNoNumber of sessions to skip before returning results.
statusNoFilter sessions by status. Accepted values: abandoned, active, ended, expired, removed, replaced, revoked.
user_idNoFilter sessions to those belonging to this Clerk user id (user_...). Clerk requires user_id or client_id when listing sessions; pass user_id here.
client_idNoFilter sessions to those belonging to this Clerk client id (client_...).
clerk_instance_idNoClerk instance id (ins_...) from clerk.get_connected_accounts. Omit to use the default connected account.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
sessionsNoSessions returned for the requested page.
total_countNoTotal number of sessions returned.

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?

With no annotations, the description carries the burden of behavioral disclosure. It states the return fields (session id, user_id, status, last_active_at, expire_at) and the cost (5 tokens), but it does not mention pagination behavior, error conditions, or any potential side effects. The prerequisite to connect is mentioned, but it is more of a usage guideline than a behavioral trait.

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 sentences long, front-loaded with the purpose, then the prerequisite, then output fields, and finally cost. Every sentence contributes necessary information without 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 high schema coverage and the existence of an output schema, the description is reasonably complete. It covers the prerequisite, the connection targeting, and the returned fields. Minor gaps remain around filtering requirements (e.g., user_id vs client_id), but those are already documented in the schema.

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 all parameters already have clear descriptions. The tool description adds the note about passing clerk_instance_id to target a connection, but this is also present in the schema. It does not add substantial meaning beyond the schema, earning the baseline score of 3.

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 'List sessions in a connected Clerk application,' which clearly identifies the action (list) and the resource (sessions). It distinguishes itself from siblings like clerk.get_session (single session retrieval) by focusing on the plural listing operation.

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 gives a clear prerequisite ('Call clerk.get_connected_accounts first') and explains how to target a specific connection via clerk_instance_id or use the default account. This provides useful context for when to use the tool, though it does not explicitly name alternatives or state when not to use it.

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.