folder_analytics
Get folder-level analytics. Free.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| folder_id | Yes | Folder UUID |
Get folder-level analytics. Free.
| Name | Required | Description | Default |
|---|---|---|---|
| folder_id | Yes | Folder UUID |
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?
With no annotations, the description carries the full burden. It only discloses that the tool is 'Free', but does not explain what that means (e.g., no credit cost), whether it is read-only, or what data is returned. Significant behavioral context is missing.
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 front-loaded, but the 'Free.' sentence is ambiguous and may not earn its place. Still, it is appropriately concise for a simple one-parameter tool.
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?
Without an output schema, the description should explain what analytics are returned but does not. It neither details the response shape nor provides enough context about the tool's behavior for the agent to confidently select it among many analytics-related siblings.
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 schema already provides 100% coverage for the single parameter (folder_id described as 'Folder UUID'). The description adds no parameter-specific semantics beyond the tool's purpose, so the baseline of 3 applies.
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 folder-level analytics' which clearly identifies the verb (Get), resource (folder-level analytics), and distinguishes it from account/video analytics siblings. It is specific and unambiguous, even if the exact analytics content is not detailed.
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. The phrase 'Free' is the only extra context, but it does not explain conditions for use or exclusions. A tool with many sibling analytics functions should include direction on selection.
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.