get_conversation_unread_count
Retrieve the count of unread conversations for the authenticated Canvas user.
Instructions
Get the number of unread conversations for the authenticated user.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve the count of unread conversations for the authenticated Canvas user.
Get the number of unread conversations for the authenticated user.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=true. The description adds the behavioral context of operating on the authenticated user's conversations, which is helpful but not extensive.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
One short, clear sentence with no unnecessary words or redundancy. Perfectly concise and front-loaded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple count tool with no parameters, no output schema, and comprehensive annotations, the description is fully adequate. It provides all necessary context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are zero parameters, so the description does not need to add parameter meaning. The schema coverage is 100% (empty schema), meeting the baseline of 4.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Get the number'), the resource ('unread conversations'), and the scope ('for the authenticated user'). It effectively distinguishes from siblings like 'get_conversation' or 'list_conversations'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage when the user needs just the count of unread conversations, but it does not explicitly compare to alternatives or provide when-not-to-use guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/bruchris/canvas-lms-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server