Get live metrics
deepinfra_get_live_metricsGet global live inference metrics across the account (real-time throughput / activity). DeepInfra REST: GET /v1/metrics/live.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
deepinfra_get_live_metricsGet global live inference metrics across the account (real-time throughput / activity). DeepInfra REST: GET /v1/metrics/live.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
readOnlyHint=true already tells the agent this is a safe, non-mutating read, so the description's scope note ('global', 'real-time') is modest added context plus the REST path. It does not cover refresh cadence, staleness, or what the metrics object contains, leaving behavioral gaps relative to the annotation baseline.
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?
Two tight sentences: scope first, endpoint second. Every clause earns its place and nothing is padded.
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 parameterless, read-only, no-output-schema tool the description covers the essentials: what is returned conceptually and its real-time nature. Only the shape/cadence of the returned metrics is unaddressed, a minor gap given the tool's simplicity.
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 tool takes zero parameters, so there is nothing for the description to disambiguate and the baseline of 4 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?
States a specific verb and resource ('Get global live inference metrics across the account') and clarifies the payload as real-time throughput/activity. It is distinguishable from account-scoped siblings like get_usage or get_deployment_stats, though it never names an alternative to sharpen the contrast.
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 indication of when to reach for this tool versus deepinfra_get_usage, deepinfra_get_deployment_stats, or get_rate_limit, and no preconditions or exclusions. The agent must infer usage from the word 'live' alone.
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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