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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world), so the bar is lower. The description still adds real behavioral context beyond them: proposals have no effect on the brief until the owner approves, and they originate from two specific mechanisms, which tells the agent these are pending, non-applied suggestions.

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 purpose is front-loaded in the first clause, and every subsequent clause carries information (source of proposals, approval gating, next tool). It is somewhat dense with em-dash asides, but nothing is redundant padding.

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 partially compensates by characterizing what the returned lines represent and where they come from. It is adequate for a single-parameter read tool, though it does not describe the shape or identity fields of the returned proposals.

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 100% and there is only one parameter (brandId, already documented as coming from list_brands), so the schema does the heavy lifting. The description adds no additional parameter meaning, making the baseline 3 appropriate.

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 ('Lists lines Rebbel suggests adding to a brand's knowledge brief') and immediately scopes what those lines are (reader's-world research the writer draws on). It clearly distinguishes this read tool from the sibling resolve_knowledge_proposal, which it names explicitly.

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 clearly routes the agent onward: 'use resolve_knowledge_proposal to decide each one,' and explains the context that produces proposals (a fresh run against a hand-edited brief, and claims the writer kept making). It stops short of stating explicit preconditions or when not to call this listing tool.

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