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inyogeshwar

Meta Social Technologies MCP Server

by inyogeshwar

like_comment

Likes an Instagram comment on behalf of @in.yogeshwar using its comment ID, enabling automated engagement and moderation workflows for AI agents.

Instructions

Like an Instagram comment on behalf of @in.yogeshwar.

Input Schema

NameRequiredDescriptionDefault
comment_idYesThe ID of the comment to like.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.1/5.0
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 does disclose the acting identity (@in.yogeshwar), which is useful auth context, but says nothing about idempotency (what happens if already liked), reversibility, rate limits, or failure behavior 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?

A single sentence with zero filler, front-loading the action and resource before the acting account.

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 one-parameter mutation with no output schema, the basics are covered, but without annotations the description should at least note what a successful or repeated like returns and any permission requirements.

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?

Only one parameter with 100% schema description coverage, so the schema already defines comment_id fully. The description adds no format, sourcing, or validation detail beyond the schema, making the 3 baseline correct.

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?

States a specific verb (like) and resource (an Instagram comment) with the acting account named. An agent can separate it from reply_to_comment and get_media_comments, though it never explicitly contrasts itself with the closer sibling react_to_message.

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 when-to-use guidance, no prerequisites (e.g., must the comment be visible to the account, must the account have permission), and no mention of alternatives such as reply_to_comment.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.