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list_conversations

Your chat conversations, most recently active first, limit 1 to 100 (default 30) per page: conversation_id, title, created_at, updated_at, language, country and messages (the count). Nullable language/country are the saved search picker settings. Returns {"conversations": [...], "next_cursor"}; pass next_cursor back as cursor for more. Same shape as GET /v1/conversations. Next step: get_conversation. Free.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNopage size, 1 to 100
cursorNo
api_keyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does so well: it discloses sort order, the default page size, the 1-100 bound, cursor mechanics for subsequent pages, endpoint equivalence (GET /v1/conversations), and that language/country reflect saved search picker settings. It omits auth requirements despite an api_key parameter, which is the main residual gap.

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

Conciseness4/5

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

Dense and front-loaded, leading with the resource, ordering and limits, with zero filler sentences. The telegraphic style is efficient though somewhat run-on, which keeps it just shy of a 5.

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?

An output schema exists, so return values needn't be restated, yet the description still characterizes the field list and response envelope, and covers pagination, cost, and the natural next tool. Only the auth/credential expectation around api_key is left implicit.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 33%, so the description must compensate and largely does: it supplies the default (30), the range, and crucially the cursor contract ('pass next_cursor back as cursor for more'), which the bare schema does not explain. The api_key parameter remains semantically unaddressed.

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?

States a specific verb and resource ('Your chat conversations'), the ordering ('most recently active first'), and the field set returned, then routes to the sibling 'get_conversation' as the next step. An agent can distinguish this list tool from get_conversation without opening either schema.

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?

Gives explicit pagination guidance ('pass next_cursor back as cursor for more') and names the follow-up tool ('Next step: get_conversation'), plus a cost signal ('Free.'). No explicit when-not-to-use case, but the context for calling it is clear.

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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