list_deleted_formats
List formats in the delete queue to review which media formats are slated for deletion.
Instructions
List formats in the delete queue
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List formats in the delete queue to review which media formats are slated for deletion.
List formats in the delete queue
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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?
With no annotations provided, the description carries the behavioral burden. The verb 'List' and the qualifier 'in the delete queue' indicate a read-only, scoped query. Still, it does not disclose details such as queue semantics, ordering, or whether listed items are recoverable, leaving some behavioral ambiguity.
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, front-loaded sentence with no wasted words. It states the operation and the exact scope efficiently.
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 zero-parameter tool, this is mostly sufficient, but the lack of an output schema and annotations means the description does not clarify what a returned format record looks like or what 'delete queue' means precisely. An agent can call the tool, but may not know the shape or semantics of the response.
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 input schema has zero parameters, so there are no parameter semantics to document. The baseline of 4 applies because the description cannot add meaning to parameters that do not exist.
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 names a specific verb ('List') and a specific resource scope ('formats in the delete queue'), which clearly sets it apart from siblings like list_asset_formats or list_deleted_file_sets. An agent can immediately understand what this tool returns.
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 when to use it: whenever formats in the delete queue are needed. However, it does not explicitly state when not to use it or mention alternatives, so the guidance remains implicit rather than prescriptive.
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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