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feedback_comment

Add comments to feedback items to request clarification or provide status updates, helping manage and track feedback resolution.

Instructions

Add a comment to a specific feedback item to ask for clarification or provide updates

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
feedback_idYesThe feedback ID to comment on
commentYesThe comment text to add
reporter_nameNoName to use for the comment (optional, defaults to "Claude AI Assistant")
reporter_emailNoEmail to use for the comment (optional, defaults to "claude@anthropic.com")
resolveNoWhether this comment resolves the feedback (optional, defaults to false)
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool adds a comment but doesn't mention permissions required, whether this is a mutating operation, rate limits, or what happens to the feedback item after commenting. For a tool that modifies data with zero annotation coverage, this is insufficient behavioral context.

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, efficient sentence that states the action, target, and purpose without unnecessary words. It's appropriately sized and front-loaded with the core functionality.

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

Completeness2/5

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

For a mutation tool with 5 parameters, no annotations, and no output schema, the description is incomplete. It doesn't cover behavioral aspects like side effects, error conditions, or return values, leaving significant gaps for an agent to understand how to use it effectively.

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 all 5 parameters thoroughly. The description doesn't add any parameter-specific details beyond what's in the schema (e.g., it doesn't explain feedback_id format or comment length limits). Baseline 3 is appropriate when the schema does the heavy lifting.

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 clearly states the action ('Add a comment') and target resource ('to a specific feedback item'), with purpose ('to ask for clarification or provide updates'). It doesn't explicitly distinguish from sibling tools like feedback_resolve, which also modifies feedback items, but the purpose is specific enough to understand its function.

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 guidance is provided on when to use this tool versus alternatives like feedback_resolve (which might resolve feedback) or other feedback-related tools. The description mentions the purpose but doesn't specify prerequisites, constraints, or comparative usage scenarios with sibling tools.

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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