get_metrics
Retrieve operational metrics from the account rotation server, including usage, quota status, and failure counts.
Instructions
Get server metrics
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve operational metrics from the account rotation server, including usage, quota status, and failure counts.
Get server metrics
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, and the description gives no behavioral traits (e.g., read-only, rate limits, data scope). The description carries full burden but fails to disclose any behavioral context.
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?
At three words, it is very concise but lacks necessary detail. Could be more informative while remaining brief.
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, no annotations, and a minimal description, the tool definition is incomplete. It does not explain what the metrics represent, possible return values, or side effects.
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 coverage is 100% (no parameters), baseline is 3. Description adds no parameter-specific meaning beyond 'metrics', but no parameters exist to describe.
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 'Get server metrics' is a clear verb+resource, but it is vague about what specific metrics and which server, and does not distinguish from siblings like chat or list_models.
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 on when to use this tool versus alternatives. Context signals show siblings are unrelated, but description implies no specific context for use.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/irad-bouzidi/mcp-ollama-account-rotation-new'
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