cloud_grid_models
Models live on the Singularity inference grid with node counts and price per million input and output tokens. No key needed.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Models live on the Singularity inference grid with node counts and price per million input and output tokens. No key needed.
| 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?
With no annotations, the description carries the behavioral disclosure burden. It usefully states 'No key needed' and implies an informational read, but it does not explicitly confirm the call is read-only, describe the response shape, or mention any limits. This adds meaningful context but leaves gaps.
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 a single efficient sentence with the key facts front-loaded and no filler. 'No key needed' earns its place by removing an important access question.
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-parameter catalog tool, the description covers subject matter and the main returned data points (node counts, per-million-token pricing), plus auth-free access. However, with no output schema, it never explicitly states that the result is a list of models, so the agent must infer the return format.
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 input schema has zero parameters, so the baseline is 4 and there are no parameter details to clarify. The description adds a mild behavioral note about not needing a key, which is relevant but not parameter-related.
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 identifies the resource (models on the Singularity inference grid) and mentions useful data dimensions (node counts, price per million input/output tokens), so an agent can infer this is a model catalog. However, it lacks a verb like 'list' or 'get', and it does not differentiate this tool from siblings such as cloud_grid_usage or cloud_list_plans, leaving the exact action to inference.
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 choose this tool over alternatives like cloud_pod_catalog, cloud_list_plans, or browse_marketplace. The only contextual statement, 'No key needed,' is about authentication rather than selection criteria.
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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