Api privacy data subjects update

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

Annotations already declare readOnlyHint=false, idempotentHint=true, destructiveHint=false, openWorldHint=true, so the safety profile is covered and the bar is lower. The description adds nothing beyond that: it does not say what gets overwritten (full replace vs. merge, which matters versus partial_update), what happens to omitted fields, or what authorization is required — and its "viewed or edited" phrasing blurs the read/write boundary the annotations define.

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 short sentence, front-loaded and free of padding, so there is nothing to trim. Its brevity is a byproduct of having almost no content rather than of disciplined editing.

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 mutation endpoint with a fully opaque request body, no output schema, and only hint-level annotations, the description should explain the payload shape and replacement semantics. It does not, leaving the agent unable to invoke the tool correctly even though it can roughly guess the target resource.

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 0% and the only non-path parameter, body, is an unconstrained `anyOf: object | null` with no documented fields. The description compensates with zero information about what the payload should contain — an agent cannot construct a valid call from either the schema or the description.

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 is the generic DRF boilerplate "allows data subjects to be viewed or edited" — it names a resource but pairs it with a vague, mixed verb that does not identify this as the update operation. With eight sibling data_subjects tools (retrieve, list, create, destroy, partial_update, update, object_retrieve, batch_action_create), it gives an agent no basis for choosing this one over partial_update or object_retrieve, and the "viewed" half is misleading for a write endpoint.

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?

There is no when-to-use guidance, no distinction from partial_update (which is the natural ambiguity here), and no statement of prerequisites such as required permissions or the object having been retrieved first. The agent must infer everything from the tool name.

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