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Get CPU target

render_get_cpu_target
Read-onlyIdempotent

Retrieve CPU target metrics for one or more Render resources by specifying service, instance, or resource IDs with optional time range and resolution.

Instructions

Get CPU target. Get CPU target for one or more resources. Calls GET /metrics/cpu-target on the Render Public API.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endTimeNoEpoch/Unix timestamp of end of time range to return. Defaults to `now()`.
serviceNoThis parameter is deprecated. Please use `resource` instead (deprecated)
instanceNoInstance ID to query. When multiple instance ID query params are provided, they are ORed together
resourceNoResource ID to query. When multiple resource query params are provided, they are ORed together. Resources can be service ids, Postgres ids, or Redis ids
startTimeNoEpoch/Unix timestamp of start of time range to return. Defaults to `now() - 1 hour`.
resolutionSecondsNoThe resolution of the returned data
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already indicate read-only, idempotent, and non-destructive behavior. The description adds useful context about the API endpoint and the ability to query multiple resources, enhancing transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short but contains redundancy: 'Get CPU target' is repeated. It could be more concise by merging the first two sentences.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only metrics tool with no output schema, the description is adequate but lacks details on what the response contains (e.g., time series, values). It does not explain how to interpret 'CPU target'.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so parameters are well-documented. The description does not add significant meaning beyond the schema, such as clarifying the difference between 'resource' and 'service' or usage of start/end times.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it retrieves CPU target metrics for one or more resources and specifies the API endpoint. This distinguishes it from sibling tools like 'render_get_cpu' and 'render_get_cpu_limit'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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 over alternatives such as 'render_get_cpu' or 'render_get_cpu_limit'. The description does not mention use cases or scenarios.

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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