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js-cohn
by js-cohn

add_comment

Add an internal comment to a conversation to provide context or notes to team members without notifying external participants.

Instructions

Add an internal comment to a conversation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes
api_tokenNo
conversation_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries the full burden. It only says 'Add an internal comment' without disclosing side effects, authentication needs, or what 'internal' implies (e.g., visibility to customer). This is a mutation tool, and no behavioral context is added.

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 concise sentence with no padding. It is front-loaded with the action and resource.

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

Completeness3/5

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

For a simple add operation, the description is sufficient in terms of purpose but lacks usage guidance and behavioral context. An output schema exists, so return values are covered, but the description does not address potential side effects or when to use it over similar tools.

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 has 0% description coverage, and the description does not explicitly map parameters. However, the parameter names 'conversation_id' and 'body' are self-explanatory, and the description implies body is the comment text. This adds minimal value beyond the schema but does not fully compensate for the lack of schema descriptions.

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 clearly states the action ('Add'), the resource ('an internal comment'), and the target ('a conversation'). This distinguishes it from sibling tools like list_conversation_comments or add_conversation_label.

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?

There is no guidance on when to use this tool versus alternatives, nor any mention of prerequisites or exclusions. The description only states what the tool does, not when it should be used.

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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