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edgegate_connect_qaihub

Store a Qualcomm AI Hub API token for your workspace to enable EdgeGate compile and profile jobs on Snapdragon devices. Encrypts token at rest and rotates existing integrations automatically.

Instructions

Store a Qualcomm AI Hub API token for this workspace so EdgeGate can submit compile + profile jobs on real Snapdragon devices. The token is encrypted at rest and is never returned in plaintext after the initial connect. If an integration already exists this tool transparently rotates the token. Requires admin role.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tokenYesQualcomm AI Hub API token. Generate one at https://app.aihub.qualcomm.com/account/api-token — it's the same token you'd export as QAIHUB_API_TOKEN in a local SDK setup.
workspace_idYes
Behavior5/5

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

With no annotations, the description carries the full burden and does well: it discloses encryption at rest, that the token is never returned in plaintext after initial connect, transparent rotation, and the admin role requirement. This gives the agent a strong sense of side effects and security expectations.

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

Conciseness5/5

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

Three concise sentences with front-loaded purpose and no filler. Each sentence adds critical information: purpose, security/rotation behavior, and access requirement.

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

Completeness4/5

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

The description covers the essential behavioral aspects (encryption, rotation, admin requirement) and purpose. It does not describe the return value, but given the lack of an output schema and the simple action, this is a minor omission. Overall it is sufficiently complete for an agent to invoke the tool correctly.

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?

The schema covers token with a detailed description (where to generate it, equivalence to QAIHUB_API_TOKEN), and workspace_id is a self-evident UUID. The tool description adds the context that the token is for 'this workspace' but does not further describe workspace_id. With 50% schema coverage, the description partially compensates but not fully.

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 the tool stores a Qualcomm AI Hub API token for a workspace, enabling EdgeGate to submit compile and profile jobs. It distinguishes itself from sibling tools like get_qaihub_integration and disconnect_qaihub by focusing on the connection/rotation action.

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

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when to use it (setup or rotate the QAI Hub token for a workspace) and even notes rotation behavior. It does not explicitly name alternatives, but the purpose is unambiguous and the admin requirement is a clear usage condition.

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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