Systemonomic

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

No annotations are provided, so the description carries the full burden. It mentions the tool 'analyzes' and 'creates,' implying a mutation operation, but doesn't disclose behavioral traits such as permissions needed, whether it's idempotent, rate limits, or what happens if tasks already exist. The description adds minimal context beyond the basic action.

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 appropriately sized with three sentences that are front-loaded: the first states the purpose, the second elaborates, and the third provides usage context. There's no wasted text, though it could be slightly more structured for clarity.

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 complexity (a mutation tool with no annotations) and the presence of an output schema, the description is somewhat complete but has gaps. It explains the purpose and basic workflow but lacks details on parameters, behavioral traits, and how it interacts with siblings. The output schema may cover return values, but the description doesn't fully address the tool's context.

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 input schema has 1 parameter with 0% description coverage, and the tool description provides no information about the 'project_id' parameter. It doesn't explain what a project ID is, how to obtain it, or its role in the process. The description fails to compensate for the low schema coverage.

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 clearly states the tool's purpose: 'Auto-generate tasks from the WDA Objects level' and 'creates corresponding control tasks.' It specifies the verb ('generate'/'creates') and resource ('tasks'), though it doesn't explicitly differentiate from siblings like 'create_task' or 'derive_task_suggestions.'

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 provides some context: 'This is the standard first step before running ATSS,' which implies when to use it relative to ATSS. However, it doesn't explicitly state when to use this tool versus alternatives like 'derive_task_suggestions' or 'create_task,' nor does it mention prerequisites or exclusions beyond the ATSS workflow.

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