get_human_feedback

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

Annotations are not provided, so the description carries full behavioral disclosure. It does not indicate whether the operation is read-only (implied by 'Get' but not stated), whether authentication is required, what happens if no feedback exists, or how the feedback is structured. For a read operation, missing these details is a significant gap.

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 is appropriately sized and front-loaded with the main action. However, it is too short to add much value, and the lack of structure beyond a basic statement limits its usefulness.

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?

With no annotations, no output schema, and a terse description, the definition is incomplete. It does not explain what 'human feedback' entails, how it differs from system revisions, or what the agent should expect in return. Given the complexity of feedback retrieval, the description should provide more context to be adequate.

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?

Schema description coverage is 100% (the only parameter `content_id` is fully documented), so the baseline is 3. The description adds no additional meaning beyond 'for a content item', which essentially repeats the schema.

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 a specific verb ('Get') and resource ('human-authored revision feedback for a content item'), but the purpose is somewhat vague. It is not immediately clear whether this returns a feedback object, a list of comments, or something else. Compared to siblings like `get_revisions` (likely system-generated revisions), the differentiation is weak. However, the core action is understandable.

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 on when to use this tool versus alternatives such as `get_revisions` or `get_content`. There is no mention of prerequisites or typical workflow context. An agent would have to infer that 'human feedback' is distinct from general revision history, but nothing confirms this.

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