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mathieubernardi

meta-mcp-py

list_ig_comments

Retrieve all comments on an Instagram post using its media ID. Adjust the result limit to analyze engagement or moderate discussions.

Instructions

Liste les commentaires d'une publication Instagram.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
media_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

There are no annotations, so the description carries the full burden of behavioral disclosure. It only restates the list operation and does not mention pagination behavior, reply inclusion, ordering, authentication requirements, or rate-limit implications. It does not contradict annotations because none exist.

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 short, front-loaded sentence with no filler. For a simple list operation, this length is appropriate and every word earns its place.

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?

The presence of an output schema covers return-value structure, and the tool itself is a simple list operation. However, the complete lack of parameter semantics and usage guidance makes the definition only minimally viable rather than fully self-sufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description adds no meaningful explanation for either parameter. It does not clarify that media_id is the Instagram publication identifier or how limit affects the result, leaving the agent to rely only on parameter names and the default value.

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 states a specific verb ('Liste') and a specific resource ('commentaires d'une publication Instagram'), making the operation unambiguous. The explicit 'Instagram' reference also distinguishes it from sibling tools like list_post_comments, which target Facebook page posts.

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 gives no guidance on when to use this tool versus alternatives such as list_post_comments, nor does it mention any prerequisite steps like obtaining an Instagram media_id from list_ig_media. An agent must infer usage entirely from the tool name and sibling list.

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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