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Sealjay

mcp-signal

list_chats

Retrieve direct and group Signal chats from the local desktop database, sorted by most recent message. Filter by name or phone number to discover chat names before reading messages.

Instructions

List direct and group Signal chats from the local desktop database, sorted by most recent message.

Each result includes name, phone number, message count, and a preview of the last message. Read-only with no side effects. Use this to discover exact chat names before calling read_messages or search_messages. Use list_groups instead when you need group_id values for send_message.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoCase-insensitive substring to filter by chat name or phone number. Empty string returns all chats.
limitNoMaximum number of chats to return, between 1 and 200.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Declares read-only with no side effects, and mentions data source and sorting. Without annotations, this provides sufficient behavioral context.

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 efficient sentences: purpose, output details, and usage guidelines. No unnecessary words.

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

Completeness5/5

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

Given 2 simple parameters with full schema, no annotations, and an output schema present, the description fully covers what the agent needs: purpose, output format, and when to use.

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 coverage is 100% with detailed parameter descriptions. The description adds no extra meaning beyond the schema, so baseline 3 is appropriate.

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?

Clearly states it lists direct and group Signal chats from local desktop database, sorted by most recent message. Differentiates from list_groups by specifying when to use each.

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

Usage Guidelines5/5

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

Explicitly advises to use this tool to discover chat names before calling read_messages or search_messages, and to use list_groups for group_id values needed for send_message.

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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