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

Annotations already declare this is a write (readOnlyHint=false), non-destructive and non-idempotent. The description adds material behavior beyond them: the call is simulated first, nothing takes effect until the seller approves in-conversation and confirms with manage_action. That approval/deferred-effect disclosure is exactly the kind of context the annotations cannot convey.

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?

Front-loads the '[Catalog changes]' category and the core action, then packs the approval semantics, VAT convention and platform scope into two tight sentences with no filler. Dense but every clause is load-bearing.

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?

An output schema exists, so return values need not be described. For a 2-parameter, mutation-style tool the description covers the approval flow, the price-convention handling and the limited marketplace scope. It is largely complete, though it says nothing about how many changes can be sent per call (schema caps at 200) or failure behavior.

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 only 50%, so the description must carry weight, and it does: it specifies that prices follow the offers_list marketplace convention, eMAG WITHOUT VAT (with a shelf-to-net conversion instruction) and Trendyol WITH VAT, plus that only Demo shop sample data is supported. This directly shapes how the required 'price' value must be computed, adding meaning the schema alone does not.

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+resource ('Propose new sale prices') and adds the simulated/approval framing, so an agent understands this is a price-change proposal, not an immediate write. It does not explicitly distinguish itself from the near-named sibling offers_update_price_limits, so it stops short of full sibling differentiation.

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 description explains the workflow (simulated first, nothing changes until the seller approves via manage_action) and the per-marketplace VAT convention, which is real usage context. However, it never names the alternative tool to use for other price cases (e.g. offers_update_price_limits) or states when NOT to use this tool, leaving the when-to-use-vs-alternatives decision implied.

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