list_python_tasks

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

No annotations are provided, so the description must carry the behavioral burden, but it only states the listing action and the prefix filter. It does not disclose read-only status, side effects, authentication needs, ordering, or error behavior.

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 extremely compact: one purpose sentence plus a minimal Args block. Every part earns its place and the main action is front-loaded.

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 simple list operation with one optional parameter and an output schema, the description is mostly adequate. However, it lacks usage context versus sibling list tools and behavioral safety details, leaving some gaps in the absence of annotations.

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 schema has 0% description coverage, but the description compensates by defining label_prefix as a 'reverse-domain prefix used for managed task labels' and showing how it fits the matching pattern. This adds domain meaning beyond the bare schema type and default.

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 uses a specific verb ('List') and a specific resource ('managed tasks') with a matching pattern, so an agent knows exactly what operation is performed. It distinguishes from sibling list tools like list_services and list_plists by the 'managed tasks' resource and the label_prefix filter.

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 guidance about when to use this tool versus alternatives, no exclusions, and no mention of prerequisites or postconditions. The agent must infer usage solely from the operation itself, which is not enough when siblings like list_plists and list_services exist.

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