local_gpu_set_model_trust

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

The description discloses a critical behavioral requirement: trust mutations require a previously returned confirmation to be displayed to the user and repeated later. With no annotations provided, this adds important context. However, it does not explain side effects, destructive potential of revoke, or other operational details expected for a mutation tool.

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 two sentences and front-loaded with the primary purpose. It avoids unnecessary filler but is so brief that it sacrifices completeness for conciseness.

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?

Given the tool's complexity (13 params, nested objects, output schema, multiple action enums), the description is too sparse. It does not explain the 'action' values, identity_token purpose, workflow binding fields, or the confirmation workflow beyond a single sentence. The output schema may cover return values, but the description leaves many usage gaps.

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 sole parameter-related mention is the 'exact confirmation previously returned' which maps to the 'confirmation' field. With 13 parameters and 0% schema coverage, the description fails to explain identity_token, action enum values, nested objects, or other critical parameters, leaving the agent under-informed.

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 states the action clearly ('Inspect, approve, or revoke one exact current local model identity') with a specific resource. It distinguishes the tool from sibling tools by focusing on trust operations. However, the phrase 'mutation boundary' is jargon and not explained.

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?

The description implies usage for trust inspection/approval/revocation, but does not explicitly state when to use this tool versus alternatives. There is no mention of prerequisites, exclusions, or alternative tools for related tasks like model discovery.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.