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TextUs MCP by usefulapi

List or search conversations

textus_list_conversations
Read-only

List conversations in an inbox view, newest message first. Use filter search with q (a phone number or text) to find a conversation. TextUs API: GET /{account}/conversation_filters/{filter}/conversations.

Input Schema

NameRequiredDescriptionDefault
qNoSearch text (name or phone digits).
cursorNoPagination cursor: the value after `cursor=` in `view.next` of the previous page.
accountYesAccount slug (from textus_list_accounts, the `slug` field).
conversation_filterYesFilter slug from textus_list_conversation_filters (for example `you`, `search`).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior3/5

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

readOnlyHint=true already declares the safety profile, so the description only needs to add context. It adds the newest-first ordering and the endpoint mapping, but says nothing about page size, whether filters restrict results, or what a conversation record contains.

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?

Three short sentences, front-loaded with the primary behavior, then the search path, then the endpoint. No filler or repetition of schema text.

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?

No output schema exists, yet the description covers what is returned only at the level of 'conversations, newest first'. Pagination is handled by the cursor field in the schema, so the main remaining gap is the shape of each returned conversation.

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 100%, so the baseline is 3, but the description adds relational meaning the schema lacks: `q` is only meaningful in combination with the `search` filter. That coupling is not stated in the schema and is genuinely useful.

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 ('List conversations in an inbox view'), plus the ordering guarantee ('newest message first') and the underlying endpoint. It is clearly distinguishable from the singular sibling textus_get_conversation.

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?

Explicitly tells the agent how to search: use filter `search` with `q` (phone number or text). It does not state when to prefer a sibling such as textus_get_conversation or textus_get_conversation_timeline, so routing is clear but not exhaustive.

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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