get_v1_media_likers
Retrieve Instagram likers for a given media post ID to analyze engagement and identify active followers.
Instructions
[GET /v1/media/likers] Media Likers
Get user's likers
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
Retrieve Instagram likers for a given media post ID to analyze engagement and identify active followers.
[GET /v1/media/likers] Media Likers
Get user's likers
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description must fully disclose behavior. It does not explain what is returned, pagination, ordering, or any side effects. The tool appears to be a read operation but this is not explicitly stated.
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?
The description is very short and to the point, but it sacrifices clarity for brevity. It fits in two lines but lacks essential details.
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 one parameter and no output schema, the description should at least explain the parameter and the expected response. It fails to do so, leaving the agent uncertain about correct invocation.
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?
The single parameter 'id' has no description in the schema and a 0% coverage. The description does not clarify that 'id' refers to the media ID. No additional meaning is provided beyond the schema.
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 states 'Get user's likers' and provides the endpoint path, but it's ambiguous whether it means likers of a specific media or a user's media. The term 'Media Likers' is clearer but still lacks specificity. Among siblings like get_gql_media_likers and get_v2_media_likers, no differentiation is made.
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?
No guidance is provided on when to use this tool versus alternatives. No mention of prerequisites, authentication, rate limits, or any context for usage.
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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