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This connector has been deprecated

This was a duplicate manual listing. Use Summer’s official listing, imported from the official MCP Registry. Summer’s MCP server remains active at https://api.gosummer.ai/mcp. Setup and documentation: https://gosummer.ai/docs/mcp-clients.

Pause the assistant in one conversation so a person can take over, or ask it to resume

summer_messenger_conversations_assistant
Destructive

Pause the assistant in one conversation so a person can take over, or ask it to resume. Pausing stops automatic replies immediately.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pausedYes
companyYesSummer company ID
environmentYesEnvironment that owns the resource
conversationYes
idempotency_keyNoReuse the same key when retrying the same change

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare destructiveHint=true, openWorldHint=true and idempotentHint=false, so the safety profile is largely covered. The description adds one genuine behavioral fact — that pausing halts automatic replies immediately — but omits what happens to in-flight or queued replies, permission requirements, and the effect on the human side. Note the schema's idempotency_key sits in mild tension with idempotentHint=false, though the description does not itself contradict annotations.

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 sentences with no filler; the operative action and its scope come first, and the single behavioral caveat ('stops automatic replies immediately') is placed second. Nothing is wasted.

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?

For a 5-parameter mutation with no output schema, the description covers the core action and its immediate effect but not permissions, return behavior, or what 'take over' means operationally for message routing. Rich annotations carry most of the remaining burden.

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 60%, with company and environment documented but conversation and paused left bare. The description implicitly explains the dual role of the 'paused' flag ('pause ... or ask it to resume'), which is real added meaning, but it says nothing about the company/environment/conversation identifiers or the idempotency key semantics.

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 names a concrete action (pause/resume) and a precise resource scope ('in one conversation'), which separates it from the account-level assistant configuration siblings like summer_messenger_assistant_update. It does not explicitly name those siblings, so an agent still has to infer the scope 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?

Usage is implied by 'so a person can take over, or ask it to resume' — this conveys the human-handoff scenario — but there is no explicit when-to-use versus the assistant-level tools, no prerequisites, and no stated exclusions. Adequate but inferential.

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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