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list_lists

Read-only

Get all lists. Optionally filter by pattern (e.g. 'example.list.*').

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cursorNoPagination cursor
patternNoFilter pattern (e.g. 'example.list.*')

TDQS

A3.8/5.0
Behavior3/5

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

readOnlyHint=true already discloses the safety profile, and the description adds the scoping behavior that it returns 'all lists' and supports pattern filtering. It does not disclose cursor/pagination behavior or note any response shape, but since annotations cover the read-only nature, this is adequate but not especially rich.

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 two short sentences with the main action front-loaded and the optional filtering condition stated cleanly in one clause. Every word earns its place; there is no filler, repetition of the title, or unnecessary detail.

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 read-only collection tool with two optional parameters and no required fields, the description plus schema gives an agent enough to make the call correctly. The only minor gap is that pagination/cursor behavior is not explained beyond the schema's one-phrase description, which is acceptable for a tool of this simplicity.

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%, and the input schema already documents both parameters, including the 'example.list.*' pattern example. The description restates the pattern example but adds little substantive meaning beyond the schema, so the baseline score of 3 is appropriate.

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 plus resource ('Get all lists') and immediately clarifies the optional filter scope, so an agent can tell this is a collection-listing operation rather than get_list or a mutation like create_list/delete_list. The 'all' qualifier reinforces that this is the plural sibling to get_list and distinguishes it from other list_* tools.

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?

The description implies the primary use case: retrieving lists, optionally filtered by a pattern. However, it never explicitly says when to use this over get_list, list_audiences, or list_tenants, and it offers no when-not or alternative routing. The agent must infer usage from naming conventions and sibling context.

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

B3.1/5.0
Disambiguation3/5

Tools are mostly organized as distinct resource/action pairs, but several clusters are easy to confuse: list subscription tools (add_subscribers_to_list vs bulk_subscribe_to_list vs subscribe_user_to_list), message vs message-content vs message-history retrieval, and the many journey/journey-template list/get tools. Detailed descriptions rescue most selections, but the sheer number of near-identical verb/resource names creates real misselection risk.

Naming Consistency4/5

Almost all tools follow a snake_case verb_noun pattern (create_, get_, list_, replace_, send_, publish_, archive_). Minor deviations keep it from a perfect score: courier_installation_guide is noun-first, and add_bulk_users sits awkwardly next to the bulk_add_* family, but the overall convention is predictable and readable.

Tool Count1/5

144 tools is an extreme working-set size for an agent to hold and choose from, far beyond the reasonable 3–15 range. Even for a broad platform like Courier, this should be split into focused sub-servers (templates, journeys, users, lists, preferences, etc.) to remain usable.

Completeness4/5

The surface is remarkably comprehensive, covering sending, templates, journeys, automations, users, tenants, lists, preferences, providers, routing, brands, audiences, translations, digests, bulk jobs, and audit events. Notable gaps exist—automation template CRUD and digest schedule management are missing—but most workflows can still be completed with workarounds.