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Get employer conversation

get_conversation
Read-only

Get full message history for a conversation. Accepts room_name or talent_slug. Uses the connected Himalayas employer account; no extra sign-in needed.

Input Schema

NameRequiredDescriptionDefault
room_nameNoRoom name from list_conversations
talent_slugNoTalent slug (from search_talent results) — resolves to room name automatically

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
    • removedInput schema / additionalProperties
      Removed value: -false
  2. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds genuinely new behavioral context beyond them: the call is scoped to the connected employer account and requires no separate sign-in, and 'full message history' characterizes the payload breadth.

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 short sentences, front-loaded with the core action, then inputs, then auth context. No filler and nothing repeated from the title.

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 correctly characterizes the return as full message history, and it covers auth and input modes. It stops short of stating behavior when neither optional parameter is supplied, a minor gap for a tool with zero required params.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3, but the description adds meaning the schema does not: the two parameters are alternative entry points ('Accepts room_name or talent_slug'), implying either identifier alone is sufficient rather than both being required together.

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: 'Get full message history for a conversation.' The mention of the 'connected Himalayas employer account' signals the employer-side scope, which helps separate it from the talent-side get_my_conversation, though that sibling is never named 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?

Usage is implied by the employer-account framing and by the two accepted identifier forms, but there is no explicit when-to-use/when-not guidance and no routing to the near-identical siblings get_my_conversation, list_conversations, or list_my_conversations.

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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