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

Annotations only give the safety profile (readOnly=false, destructive=false, openWorld=true). The description adds real behavioral context beyond them: active rules keep generating/scheduling/publishing per approval settings, the call returns the saved rule, and repeat calls with the same idempotency_key are deduped. Note the tension with idempotentHint=false: the retry-safe claim is scoped to the key, so it is a nuance rather than a hard contradiction.

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 core action is front-loaded and every clause carries information (scope, side effects, return value, retry semantics). It is a touch dense but contains no filler sentences.

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?

No output schema exists, so the 'returns the saved rule' note is a useful surrogate. However, for a create tool whose primary input is a rule configuration, the description never explains what the body/config actually contains, and brand_id is unexplained, leaving the agent unable to fully construct the call.

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 coverage is 60% (baseline 3). The description adds meaning for 'body' (holds the rule configuration) and for idempotency_key (retry semantics), but brand_id is undocumented anywhere and body is described circularly as an 'override for sparse parameter schemas,' so it does not compensate for the uncovered params.

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 ('Create a content automation rule') and scopes it to two rule types (scheduled content generation, YouTube repurposing). This distinguishes it from one-off job siblings like aidelly_create_repurpose_job, but it doesn't explicitly name the contrast, so it stops short of a 5.

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 mention of the supported rule types implies when the tool is appropriate (scheduled generation or YT repurposing), but there is no explicit when-to-use/when-not guidance and no routing versus update_content_automation, trigger_content_automation, or create_repurpose_job. Usage is inferable but not stated.

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