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Perisclaw: Use ChatGPT and Claude with your WhatsApp

Get Chat Settings

chat_settings_get
Read-only

Read the chat_settings row for a chat. Returns null if no row exists (meaning the chat uses defaults — mode=0, no per-chat notes). This is READ-ONLY and never starts durable work. Finite follow-through belongs to a Mission; standing monitoring or replies belong to an Automation.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "chat_id": "<chat_id>"
    },
    "name": "chat_settings_get"
  }
}

Input Schema

NameRequiredDescriptionDefault
chat_idYesChat JID (e.g. "919876543210@s.whatsapp.net" or "<id>@g.us").

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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 adds genuine behavioral detail beyond that: it returns null when no row exists and explains that this implies defaults (mode=0, no per-chat notes), plus an explicit statement that it never starts durable work.

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?

Three sentences, front-loaded with the core read behavior and the null semantics. The final Mission/Automation sentence is useful scope disambiguation but is somewhat tangential for a simple read tool.

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?

There is no output schema, so the description carries the burden of explaining return values — and it does, covering both the populated row and the null/default case. For a one-parameter read tool with full annotation coverage, nothing an agent needs is missing.

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% and the single chat_id parameter is fully documented with JID format examples in the schema. The description adds no additional semantics about the parameter, so the baseline 3 applies.

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?

States a specific verb and resource: 'Read the chat_settings row for a chat.' The singular 'for a chat' implicitly distinguishes it from chat_settings_list, but the sibling is never named, so the agent must infer the distinction.

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

Usage Guidelines3/5

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

The null-means-defaults explanation gives useful context for interpreting results, and the Mission/Automation sentences scope what this tool does not do. However, no sibling tool is named as an alternative (e.g., chat_settings_list for enumeration), so when-to-use is only implied.

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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