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Set reply alerts

set_reply_alerts

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": {
      "reply_alerts": "<reply_alerts>"
    },
    "name": "set_reply_alerts"
  }
}

Input Schema

NameRequiredDescriptionDefault
on_behalf_ofNoA teammate's email, or an agency client's from list_agency_clients, to run this call in that account: their agents, settings, connected accounts, and credits. Omit it to act on your own account.
reply_alertsYes'all' for every reply; 'interested' for replies read as interested or asking to meet, and every reply from a prospect already at meeting booked; 'off' for none.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / on_behalf_of / description
      Previous value: -"An agency client's email, from list_agency_clients, to run this call in that client's account: their agents, settings, connected accounts, and credits. Omit it to act on your own account."New value: +"A teammate's email, or an agency client's from list_agency_clients, to run this call in that account: their agents, settings, connected accounts, and credits. Omit it to act on your own account."
  2. Added

TDQS

A3.8/5.0
Behavior4/5

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

Annotations declare this is a non-read, non-destructive mutation, and the description adds what annotations cannot: the Slack-connection prerequisite and the fact that the post-change state (reply_alerts and slack_connected) is returned. It does not state whether the change applies immediately to in-flight replies or how it interacts with on_behalf_of accounts.

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?

Two short blocks, purpose front-loaded in the summary and return values separated out. The XML-style wrapper is mild overhead but keeps the content scannable and every sentence carries information.

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?

With only 2 fully documented parameters and no output schema, the description covers purpose, prerequisite, and return fields, which is sufficient. Minor gap: it doesn't clarify the effect of the cross-account on_behalf_of parameter, though the schema documents that.

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%, with the enum for reply_alerts already spelling out 'all', 'interested' and 'off' semantics in detail. The description adds no further parameter meaning beyond what the schema provides, 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?

The description states a specific action and resource: choosing which prospect replies (email and LinkedIn) the user is alerted about on Slack. It is clearly distinguishable in intent from settings siblings like set_daily_digest or set_linkedin_warmup, but it never names an alternative explicitly.

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?

It supplies a real precondition — 'Nothing arrives until Slack is connected' — which tells the agent when the setting will be inert. However, there is no explicit when-to-use/when-not guidance and no pointer to siblings such as get_settings for reading the current state first.

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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