ig_list_media
Fetch recent media posts from the connected Instagram account to view or manage them.
Instructions
List recent media posts from the connected Instagram account.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No |
Fetch recent media posts from the connected Instagram account to view or manage them.
List recent media posts from the connected Instagram account.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
v1.0.0Does 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 indicates a read operation ('list') but does not cover authentication needs, ordering, pagination, or return format. The term 'recent' is ambiguous and no additional behavioral traits are disclosed.
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 a single, tightly packed sentence that front-loads the verb and resource. There is no filler or redundant information, making it an efficient and well-structured description.
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?
With no output schema and no annotations, the description leaves key context undefined: the exact return format, the ordering of results, and the effect of the 'limit' parameter. For a simple list tool, the description is too minimal to fully prepare an agent for correct invocation and result interpretation.
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 description coverage is 0% for the single 'limit' parameter, and the description does not mention 'limit' at all. The agent must rely solely on the parameter name and constraints in the schema, with no supplementary meaning provided in the description.
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 a specific verb ('list'), a resource ('recent media posts'), and a source ('connected Instagram account'). It is clearly distinct from sibling tools, none of which provide IG media listing functionality, so there is no ambiguity about what this tool does.
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 implies usage when the agent needs recent media posts, but it does not explicitly state when to use this tool versus alternatives or mention any exclusions. The usage context is inferred from the sibling set rather than explicitly documented.
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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