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

No annotations are supplied, so the description carries the full burden. It does disclose useful behavior — output ordering by severity, a next step per risk, tolerance of null answers, and repeated invocation keyed on engagement_id (implying state accumulates across calls). It never says whether submissions are persisted or whether the operation is purely a read-only evaluation, and gives no error/validation behavior for malformed input.

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?

Purpose and usage rules are front-loaded in the first three sentences, with the example placed last as supporting material. The embedded JSON example is long but earns its space by anchoring a deeply nested schema; a smaller illustrative snippet would have sufficed for some fields.

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 deeply nested submission payload, the description plus example cover the input structure well, and the output schema means return values need not be spelled out further. Gaps remain around persistence/auth expectations and the undocumented max_risks control, which an agent needs in order to call this correctly on repeat invocations.

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?

Top-level schema description coverage is 0% for the two root parameters, so the description must compensate. The worked example gives real meaning to engagement_id, sow, project_items, objects, items and flags that the schema alone does not, but max_risks (default 25) is never mentioned and its effect on the returned risk list is left entirely unexplained.

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?

States a specific verb and resource ('Review a data migration's Discovery results') and describes the return shape: risks ordered highest severity first, each with a next step. No siblings exist to differentiate from, but an agent can immediately tell what the call produces.

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?

Gives clear operating context: 'Send everything you learned, including open questions with answer null' and 'Call again with the same engagement_id as Discovery progresses.' It does not state any when-not conditions (e.g., what to do if nothing has been gathered yet, or how this differs from any final sign-off step), so it stops short of explicit alternatives/exclusions.

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