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post_comment

Add a comment to a specific node in a Figma file by providing the file key, node ID, message, and coordinates, enabling collaborative feedback directly within designs.

Instructions

Post a comment on a node in a Figma file

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_keyYesThe key of the Figma file
messageYesThe comment message
node_idNoThe ID of the node to comment on. Node ids have the format `<number>:<number>`
xYesThe x coordinate of the comment pin
yYesThe y coordinate of the comment pin
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 mentions the action ('Post a comment') which implies a write operation, but fails to disclose critical behavioral traits such as authentication requirements, rate limits, whether comments are editable/deletable, or what happens on success/failure. This leaves significant gaps for a mutation tool.

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 directly states the tool's purpose without any unnecessary words. It's appropriately sized and front-loaded, making it easy to understand at a glance.

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 no annotations and no output schema, the description is insufficiently complete. It doesn't explain what happens after posting (e.g., success response, error conditions, comment visibility) or address behavioral aspects like permissions. Given the complexity of a write operation, more contextual information is needed.

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 input schema has 100% description coverage, thoroughly documenting all 5 parameters. The description adds no additional parameter semantics beyond what's already in the schema, so it meets the baseline score of 3 where 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 ('Post a comment') and the target resource ('on a node in a Figma file'), providing a specific verb+resource combination. However, it doesn't differentiate from sibling tools like 'reply_to_comment' or 'read_comments', which would require explicit comparison to achieve a score of 5.

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 offers no guidance on when to use this tool versus alternatives like 'reply_to_comment' or 'read_comments', nor does it mention prerequisites such as file access permissions. It simply states what the tool does without contextual usage information.

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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