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

Annotations only establish that this is a non-read-only, non-destructive operation. The description adds meaningful behavioral detail beyond that: it auto-resolves a default content plan, creates/links search-query rows, returns specific IDs, and does not require a research run. This is useful side-effect disclosure consistent with the annotations.

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?

Each of the three sentences earns its place: purpose, behavior and return values, then compatibility constraint. There is no filler, repetition, or schema duplication. The most important identification information 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 9-parameter creation tool with no output schema and no per-parameter descriptions, the description gives core return fields and side effects but omits explanation of non-obvious parameters and product concepts like 'brief-ready' and 'default content plan'. It is enough for basic selection but not for confident invocation without further investigation.

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 carries the full burden of explaining the 9 parameters. It references 'keywords' at a high level but provides no field-level semantics for angle, reasoning, searchIntent, targetAudience, wordCountTarget, or the required fields. The schema’s raw constraints are present, but the description does not compensate for the missing parameter documentation.

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 states a specific verb ('Create'), resource ('article suggestion'), and source ('from the operator's own input'), clearly distinguishing it from opportunity-driven or research-driven tools. It also names concrete outputs (suggestionId + contentPlanId) and the no-research constraint, leaving no ambiguity about what this tool does.

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 phrase 'from the operator's own input' and 'Free-tier compatible (no research run required)' imply when this tool is appropriate, but the description never names sibling alternatives or states when not to use them. Usage context is present but left to inference rather than made explicit.

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