Hardware
hardwareList available Replicate hardware types (CPU, GPU SKUs) with their names and SKU identifiers; use to select hardware when creating a deployment.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
hardwareList available Replicate hardware types (CPU, GPU SKUs) with their names and SKU identifiers; use to select hardware when creating a deployment.
| 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?
Annotations already declare readOnly, idempotent, non-destructive, and openWorld, so the safety profile is covered. The description adds useful context beyond that: the catalog contents (CPU/GPU SKUs with names and identifiers) and the intended consumption point. It does not describe result ordering or completeness, which keeps it below a 5.
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?
A single sentence that front-loads the action and resource, then appends the usage cue. No filler, no restatement of the title.
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 zero-param, read-only lookup with no output schema, the description covers what the tool is, what it returns at a high level, and when to call it. Minor gap: no note on whether the list is static or whether results should be cached/filtered by SKU.
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; the baseline for a no-parameter tool is 4.
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 (list Replicate hardware types) and enumerates what is returned (CPU/GPU SKUs, names, SKU identifiers). No sibling tool overlaps with hardware enumeration, so it is immediately distinguishable from the deployment- and model-oriented siblings.
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?
Explicitly names the downstream use case: 'use to select hardware when creating a deployment.' That gives the agent a clear trigger context, though it offers no exclusions or named alternatives (there are no competing hardware-listing siblings, so this is largely moot).
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.