delimit_intel_dataset_list

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

Since annotations are absent, the description carries full responsibility. It states 'read-only' and mentions the specific backend call (backends.tools_data.intel_dataset_list). While it covers read-only behavior, it omits potential details like rate limits, authorization requirements, or edge cases. Still, it provides essential transparency.

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 well-structured with labeled sections (When to use, When NOT to use, Sibling contrast, Side effects, Args, Returns). Every sentence adds meaningful information without redundancy. It is front-loaded with the core purpose and is efficiently short.

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?

The description covers all necessary aspects for a simple list tool: purpose, usage guidelines, behavioral constraints (read-only), parameter documentation, and return type ('Dict with the dataset registry and next_steps'). The presence of an output schema further reduces the need for additional return value details. It is fully 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?

The input schema has no parameters (0 params), and schema coverage is 100% (trivially). The description explicitly states 'Args: None.' This clarifies the lack of parameters, meeting the baseline expectation for zero-parameter tools.

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 starts with a clear, specific verb+resource: 'List all datasets in the intel registry.' It distinguishes this tool from siblings by explicitly naming the two related tools (delimit_intel_dataset_register, delimit_intel_dataset_freeze) and contrasting their behaviors.

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?

Provides explicit 'When to use' and 'When NOT to use' sections, including concrete alternative tool names (register, freeze) and the exact context (inventory currently registered datasets). This gives the agent clear decision boundaries.

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