Skip to main content
Glama

Assign a conversation

assign_conversation
DestructiveIdempotent

Give a conversation to a teammate (their user id), hand it back to the AI agent ("ai"), or leave it with the team unassigned (null).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toYesA teammate user id, "ai", or null for unassigned.
conversationIdYesConversation id from list_conversations.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=false, destructiveHint=true, and idempotentHint=true, covering the safety profile. The description adds no behavioral context beyond the annotation, such as whether the assigned teammate is notified, whether existing assignment is replaced, or what side effects occur.

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?

The description is a single sentence that is front-loaded with the action and lists the possible assignment targets compactly. Every clause earns its place, with no redundant or filler content.

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?

For a simple two-parameter mutation tool with complete schema coverage and annotations that communicate the safety profile, the description gives enough to understand the tool's core purpose. The main gap is the absence of when-to-use guidance, but overall it is reasonably complete.

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%, so the schema already documents both parameters, including the meaning of "ai" and null. The description restates the same semantics without adding new format or syntax details, so the baseline score of 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 verb (give/assign) and resource (conversation), and enumerates the three possible assignment targets: teammate, AI agent, or unassigned. This is clear and unambiguous, but it does not explicitly differentiate the tool from siblings like update_conversation or reply_to_conversation.

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

Usage Guidelines2/5

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

The description explains what values can be passed for the assignment target, but it provides no guidance on when to use this tool versus alternatives such as update_conversation, merge_conversations, or snooze_conversation. There are no prerequisites, conditions, or exclusions stated.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources