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AIWerk

@aiwerk/mcp-server-elevenlabs

by AIWerk

list_workspace_conversation_tickets_route

Read-onlyIdempotent

Retrieve and filter conversation tickets within a workspace by status, assignee, or pagination to manage support requests.

Instructions

List Workspace Conversation Tickets

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cursorNoUsed for fetching next page. Cursor is returned in the response.
statusNoFilter tickets by status.
page_sizeNoHow many agent conversation tickets to return. Can not exceed 100.
assignee_user_idNoFilter tickets by assignee. Use 'unassigned' for tickets with no assignee.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds nothing beyond them — no pagination behavior, no rate-limit or auth notes — so it neither helps nor harms.

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?

It is a single short sentence with zero waste, but also zero substance — it is concise to the point of being uninformative rather than front-loading useful constraints.

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 list endpoint whose sibling set includes both 'list_agent_conversation_tickets_route' and 'list_conversation_tags_route', the description provides no scope or disambiguation. With no output schema and no added behavioral detail, an agent lacks what it needs to confidently pick and use this tool.

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%, with each of the four parameters (cursor, status, page_size, assignee_user_id) explained in the schema itself. The description contributes no parameter semantics, so the baseline of 3 applies.

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

Purpose2/5

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

The description restates the tool name almost verbatim ('List Workspace Conversation Tickets' vs 'list_workspace_conversation_tickets_route'). It conveys a verb (list) and a resource (conversation tickets), but adds no scope, no differentiation from the sibling 'list_agent_conversation_tickets_route', and nothing about filtering behavior.

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 when-to-use guidance, no mention of the near-identical sibling 'list_agent_conversation_tickets_route', and no indication of when to prefer the filtered queries. The agent must guess which list endpoint to select.

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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