qradar_get_rule

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

There are no annotations, so the description carries the behavioral burden. It discloses that the operation retrieves data and returns a JSON string with specific fields, which is helpful. However, it does not mention error behavior for invalid/nonexistent IDs, permissions required, or rate limits. For a simple read operation this is adequate but not rich.

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 short and front-loaded with the main purpose. The Args and Returns sections are clean and scannable. The Args line is somewhat redundant with the input schema, but the overall structure is efficient and not bloated.

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 single-parameter read-only tool with an output schema, the description provides enough to invoke it correctly: the resource, the parameter semantics, and the return format. It does not discuss not-found behavior or authorization, but those are relatively minor gaps at this complexity level.

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%, so the description must compensate. It defines rule_id as 'The ID of the rule to retrieve,' which adds a semantic label, but this largely restates the parameter name and the schema title 'Rule Id.' It does not explain where to find the ID, constraints, or how the ID maps to detection rules beyond that.

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 opens with a specific verb and resource: 'Retrieve full details of a specific detection rule by its ID.' This clearly distinguishes it from siblings like qradar_list_rules (which lists) and qradar_update_rule (which mutates). The word 'full' also signals a single-object lookup rather than a summary.

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 tool's intended use is clear: call it when you have a single rule ID and want full details. It does not explicitly name alternatives or state when not to use it, but the contrast with 'qradar_list_rules' is strongly implied by the wording 'a specific detection rule by its ID.'

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