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@aiwerk/mcp-server-elevenlabs

by AIWerk

list_chat_response_tests_route

Read-onlyIdempotent

List and filter ElevenLabs agent response tests and folders by type, name, sharing mode, or parent folder, with cursor pagination and page sizing.

Instructions

List Agent Response Tests

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typesNoIf present, the endpoint will return only tests/folders of the given types.
cursorNoUsed for fetching next page. Cursor is returned in the response.
searchNoSearch query to filter tests and folders by name.
page_sizeNoHow many Tests to return at maximum. Can not exceed 100, defaults to 30.
sort_modeNoSort mode for listing tests. Use 'folders_first' to place folders before tests.
sharing_modeNoFilter test visibility. Use `shared_with_me` to return only tests/folders shared with the current user that they did not create.
include_foldersNoDeprecated. Use the `types` query param and include `folder` instead.
parent_folder_idNoFilter by parent folder ID. Use 'root' to get items in the root folder.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.5/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true, and destructiveHint=false, so the safety profile is covered. The description adds nothing beyond that—no mention of pagination via cursor, default page size, or filtering behavior—so it contributes no behavioral context of its own.

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

Conciseness3/5

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

The single phrase is front-loaded and free of waste, but its brevity reflects under-specification rather than efficiency. There is no structure beyond the bare title-like statement.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a listing endpoint with 8 optional filtering/pagination parameters and no output schema, the description should at least hint at filtering, pagination, and result shape. It leaves the agent to reconstruct all of that from the schema alone.

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 all 8 parameters (types, cursor, search, page_size, sort_mode, sharing_mode, include_folders, parent_folder_id) are documented in the schema itself. The description adds no parameter meaning, so the baseline of 3 applies.

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

Purpose3/5

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

The description 'List Agent Response Tests' names a verb and resource, so the purpose is identifiable, but it essentially restates the tool name and adds nothing about scope, filtering, or pagination. It does not distinguish this listing endpoint from sibling readers like get_agent_response_test_route or get_agent_response_tests_summaries_route.

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

Usage Guidelines2/5

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

There is no guidance on when to use this tool versus alternatives such as get_agent_response_tests_summaries_route, list_test_invocations_route, or the folder/test read endpoints. The agent must infer usage entirely from the name.

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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