create_folder
Create a folder. Free.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | Folder name (max 255 chars) |
Create a folder. Free.
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | Folder name (max 255 chars) |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description bears the full responsibility of disclosing behavioral traits. It only mentions 'Free' (likely cost-related) but does not disclose potential errors, permission requirements, or side effects of folder creation. For a mutation tool, this is a significant gap.
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 extremely brief and to the point, containing only a few words. The 'Free.' addition is somewhat unnecessary but does not reduce clarity significantly. It is concise and front-loaded, though it borders on under-specification.
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 one-parameter creation tool, the description is minimally adequate but lacks details about return values, behavior if a folder with the same name already exists, or any post-creation effects. Since there is no output schema, some expectation-setting would be helpful.
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 fully documents the single 'name' parameter with a description and max length, so schema coverage is 100%. The description adds no additional parameter information, so it neither improves nor detracts from what the schema already provides.
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 clearly states the action ('Create') and the resource ('a folder'), which is specific and differentiates it from sibling tools like list_folders or add_videos_to_folder. However, it doesn't provide any additional context about folder types or special behaviors, so it's not a 5.
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?
There is no guidance on when to use this tool versus alternatives, no prerequisites, and no use-case examples. The description simply restates the function without any contextual direction, which is insufficient for an agent to decide when to invoke it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Every tool targets a distinct resource and action: account vs video vs folder vs analysis vs radar. Even similar tools like analyze_video and get_analysis are clearly separated by creation vs retrieval.
Most names follow a verb_noun pattern (track_video, get_account, create_folder). Minor deviations like 'growth_trends' and 'radar_history' are noun phrases but remain readable and predictable.
26 tools is slightly above the ideal range, but the server covers a broad domain with distinct sub-areas (accounts, videos, folders, analytics, AI analysis, radar), so the count is justified rather than bloated.
Core lifecycle operations are covered: track/untrack accounts and videos, list/get details, analytics, folders, and AI analysis. Minor gaps exist (no delete folder, no remove-from-folder), but they don't break primary workflows.