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compute_capability

Read-only

Retrieve source-backed NVIDIA CUDA hardware compute capability context; non-CUDA is not assigned a CC. No toolkit/framework guarantee.

Input Schema

NameRequiredDescriptionDefault
limitNo
offsetNo
searchNo
statusNo
segmentNo
capabilityNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds real domain caveats beyond that — results are source-backed, non-CUDA entries exist without a capability value, and the CC is not a toolkit/framework compatibility guarantee — but says nothing about pagination, result ordering, or what an empty result means.

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?

Two short sentences with no filler and the retrieval verb is front-loaded, so it is not bloated. But brevity here comes at the cost of substance — the second sentence is a disjoint caveat fragment, and "context" does no work.

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

Completeness2/5

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

An output schema exists, so return values needn't be spelled out, but for a 6-filter query tool with zero parameter documentation the description should explain the filter model and pagination defaults. It explains neither, so an agent cannot confidently narrow a query without guessing.

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

Parameters2/5

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

Six parameters with 0% schema description coverage, so the description must carry the load and instead names none of them. limit/offset pagination, free-text 'search', and the meaning of the status/segment/capability filters (and how they combine) are entirely undocumented; only the self-explanatory enum literals offer any foothold.

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

Purpose3/5

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

The verb+resource is present ("Retrieve ... compute capability context"), and the domain is narrowed to NVIDIA CUDA hardware. However, "context" is vague about whether it returns a single CC value, a record, or a list, and nothing distinguishes it from sibling tools like get_accelerator or list_accelerators that plainly overlap in subject matter.

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?

There is no statement of when to call this instead of get_accelerator or list_accelerators, nor any prerequisite or exclusion. The only condition-like text ("non-CUDA is not assigned a CC") describes the data domain, not invocation guidance, leaving the agent to infer when this tool is appropriate.

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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