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List Conversations

list_conversations
Read-only

The conversations you are a member of, with each member's read watermark. Direct conversations are keyed by conv_key (dm_…).

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_conversations"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description contributes the membership filter and the fact that per-member read watermarks are returned, which is genuine extra context, but it says nothing about ordering, volume, or whether archived/muted conversations are included.

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?

Two short sentences with no filler. The second sentence about conv_key keying is somewhat cryptic and reads as an aside, but it is brief and front-loading of the membership scope is sound.

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

Completeness3/5

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

With annotations and an output schema present, the description only needs to add invocation context, and it does supply membership scoping. However, in a crowded list-tool namespace it does not tell the agent how this differs from neighbouring read tools or what population of conversations comes back.

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?

The tool takes zero parameters, so baseline is 4. The note that direct conversations are keyed by conv_key with a dm_ prefix is marginally useful orientation for interpreting results rather than for invocation.

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

Purpose4/5

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

The description identifies the resource precisely and narrows scope to 'the conversations you are a member of', which is a meaningful constraint an agent cannot infer from the name alone. It stops short of naming a verb or distinguishing itself from adjacent list tools such as list_messages or list_inbox.

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 statement of when to call this versus list_inbox, list_messages, get_watermark, or mute_conversation. The mention of read watermarks hints at a use case but gives no explicit trigger or exclusion.

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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