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

Beyond the readOnly/openWorld/destructive annotations, the description discloses genuinely useful behavior: outputs are written from whole sentences of the source with key points preserved in source order, unsupported claims are traced back to the source, and unrecognized target formats are reported rather than fabricated. It also flags the approval requirement and that a draft cannot grant customer permission. This is rich disclosure the annotations could not supply.

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 definition is front-loaded with what it produces and what it needs, then layers in the grounding and format-handling rules. Every clause carries information, though the closing sentence about customer approval reads like a procedural instruction rather than a property of the tool, slightly blurring the description's focus.

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?

With no output schema, the description correctly takes on the burden of describing return values and their provenance, which it does well. For a 7-parameter tool with four enums it is nearly complete, though it never mentions the optional sector parameter or how sector affects output, leaving that to the schema.

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 already 100%, so the bar is a baseline 3, but the description adds meaning: target_formats has a documented default set and unknown names are named instead of written, brand_voice and key_message are framed as steering levers, and publication_approval is tied to a before-publication check. It does not cover your_sector, leaving one parameter's intent to the schema alone.

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+resource: it turns one piece of source content into versions for other channels, and it enumerates the output types (LinkedIn post, X thread, email, blog summary, quote cards). That is far more concrete than a restatement of the name. It does not explicitly differentiate itself from siblings like newsletter_builder or thought_leadership_series, which keeps it from 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?

It makes clear the entry condition (you have a single piece of content and want channel-specific versions) and names the required inputs plus the optional levers that steer output. It also introduces a prerequisite around customer approval before publication. There is no explicit when-not-to-use guidance or named alternative tool, so it falls short of a 5.

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