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FirstReply MCP Server

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by FirstReply

Conversation Get

conversation_get
Read-onlyIdempotent

Retrieve a customer conversation by ID to view its subject, status, priority, AI classification, assignment, contact, language, and last message.

Instructions

Get a customer conversation by id: subject, status, priority, classification (with the AI's reason and confidence), assignment, contact, language and last message.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
conversationIdYesThe conversation id.
organizationIdYesThe organization id. Use organization_list to find it.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive, and closed-world behavior, so the safety profile is covered. The description adds value by enumerating the returned payload (classification with reason/confidence, last message), but says nothing about permissions, error behavior, or rate limits.

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?

A single front-loaded sentence with the purpose stated first and the field list following. No wasted words.

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 no output schema, the description usefully compensates by listing the fields returned (status, priority, classification, assignment, contact, language, last message). For a simple read-only two-parameter lookup this is nearly complete, lacking only auth/error context.

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 both required parameters (organizationId, conversationId) are documented in the schema itself, including the hint to use organization_list. The description adds no parameter-level detail beyond the schema, so 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 clear verb ('Get') plus resource ('customer conversation by id') and enumerates the returned fields, which lets an agent distinguish it from the plural conversation_list. It does not explicitly name a sibling alternative, so it falls short of the top tier.

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 'by id' phrasing implies single-record lookup rather than listing, but there is no explicit when-to-use, when-not-to-use, or named alternative guidance. Usage must be inferred from context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.