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mark_conversations_read

Idempotent

Mark multiple Canvas conversations as read by providing a list of conversation IDs.

Instructions

Mark multiple conversations as read.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
conversation_idsYesList of conversation IDs to mark as read

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Annotations already declare idempotentHint=true and destructiveHint=false, covering the safety profile. The description adds no extra behavioral context beyond the core action, such as whether unread counts are updated or that conversations are not deleted. This is acceptable for a trivial operation but adds no value beyond the annotations.

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 direct and front-loaded. It conveys the essential information without any filler, achieving maximum conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple tool with one well-documented parameter and an output schema, the description is sufficient. It clearly states what the tool does, and the annotations cover safety and idempotency. No additional context is needed for an agent to use it correctly.

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?

The schema already provides 100% coverage with a clear description for the single parameter (conversation_ids). The tool description adds nothing beyond what the schema states, so the baseline of 3 is appropriate.

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?

The description uses a specific verb ('Mark') and resource ('conversations') with the qualifier 'multiple', which clearly distinguishes this from sibling tools like list_conversations or get_conversation_details. It explicitly states the action and scope, making it obvious what this tool does.

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 provides no guidance on when to use this tool versus alternatives. It does not mention any preconditions (e.g., obtaining conversation IDs first via list_conversations) or mention that it should be used to clear unread counts. No exclusions or alternative tools are referenced.

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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