comments_like
Like a comment on the platform asynchronously. Currently only supported on Facebook.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| post_id | Yes | Post ID | |
| comment_id | Yes | Comment ID (Postproxy ID or external ID) | |
| profile_id | Yes | Profile ID |
Like a comment on the platform asynchronously. Currently only supported on Facebook.
| Name | Required | Description | Default |
|---|---|---|---|
| post_id | Yes | Post ID | |
| comment_id | Yes | Comment ID (Postproxy ID or external ID) | |
| profile_id | Yes | Profile ID |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate idempotentHint=true and non-destructive, but the description adds valuable context: the operation is asynchronous and currently limited to Facebook. No contradictions.
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?
Two sentences with no wasted words. Front-loaded with the action and resource, then clarifies async and platform support.
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 tool with no output schema and fully described parameters, the description is complete. It covers the key behavioral aspects (async, platform) and is self-sufficient.
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?
Schema coverage is 100% with descriptions for all three parameters. The description does not add additional meaning beyond what the schema provides, so baseline score of 3 is appropriate.
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 (like) and resource (comment), and distinguishes from siblings like comments_unlike. It also notes the async nature and Facebook-only limitation.
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 specifies when to use (for liking comments) and implies limitations (only Facebook), but does not explicitly mention when not to use or provide alternatives.
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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