Skip to main content
Glama

get_conversation_details

Read-only

Fetch complete Canvas conversation details including messages by conversation ID. Optionally auto-mark as read for efficient management of course communications.

Instructions

Get detailed conversation information with messages.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
auto_mark_readNoMark as read when viewed
conversation_idYesConversation ID
include_messagesNoInclude all messages

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Description matches readOnlyHint annotation (both indicate read operation). However, it doesn't disclose that auto_mark_read defaults to true, which is a behavioral trait beyond the annotation. Since annotation covers safety and output schema covers return, this is adequate but not enhanced.

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?

Single sentence, front-loaded with action and object, no redundant details.

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?

Given the simple read operation, the schema covers parameters, annotations cover safety, and output schema covers returns. The description is terse but sufficient; a 4 reflects the missing usage guidance but acknowledges the structured fields fill gaps.

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 already describes all three parameters with 100% coverage. Description adds nothing beyond confirming messages inclusion, which is already in the include_messages parameter. Baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Uses specific verb 'get' and resource 'conversation details', with 'with messages' clarifying the scope. Distinguishes from siblings like 'list_conversations' which lists, and 'send_conversation' which creates.

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?

No explicit guidance on when to use this vs alternatives. It doesn't mention that list_conversations should be used to find conversation IDs, or that mark_conversations_read handles read state. The description implies usage but lacks exclusions or alternatives.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/vishalsachdev/canvas-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server