get_account_metrics
Get detailed account performance metrics. Free.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| account_id | Yes | Account UUID |
Get detailed account performance metrics. Free.
| Name | Required | Description | Default |
|---|---|---|---|
| account_id | Yes | Account 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 full responsibility for disclosing behavior. It only adds 'Free' (likely indicating no credit cost) but does not mention whether the operation is read-only, requires authentication, or what side effects (if any) exist. The term 'detailed' is vague and does not clarify output or limitations.
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 concise: two short phrases in one sentence. Every word earns its place, with no unnecessary fluff. It is front-loaded with the core purpose.
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?
Despite the simple schema, the description lacks critical context. It does not specify what metrics are returned, whether results are paginated, or any constraints on usage. Given the presence of many analytics siblings, the description is too sparse to fully orient an agent on when this tool is the right choice.
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 of the single parameter (account_id with description 'Account UUID'), so the description adds no additional parameter meaning. The baseline of 3 applies here because the schema does the heavy lifting.
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 tool returns 'detailed account performance metrics' for an account, which is a specific verb+resource. However, it does not explicitly distinguish this from sibling analytics tools like folder_analytics or growth_trends, so it misses the top score.
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 given on when to use this tool versus alternatives. The word 'Free' hints at a cost-related distinction but is not framed as a directive. There is no mention of prerequisites, exclusions, or alternatives.
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.