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

Annotations already declare readOnlyHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered; the description still adds useful context ('No external network calls. Free, no signup') that confirms offline, no-auth operation. It stops short of describing the report/output shape or how duplicates are reported, but the annotation baseline lowers the burden.

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-loaded with the verb and scope, followed by a compact list of what is checked and a one-line trust note. Every sentence earns some place, though 'Free, no signup' leans promotional rather than operational.

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 batch-audit tool with no output schema, the description says what it checks but not what a caller receives (findings list, per-record status, summary), and one of the two parameters is unexplained. Adequate but with clear gaps given the missing structured return documentation.

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 must carry the parameter meaning. It does explain the 50-item cap and ties the audit to fields like SKU, URLs, and cost/price/fee inputs via 'estimated net contribution per order', but the key knob targetMarginPct and per-field semantics (feePct, shippingCost) are left entirely to inference.

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 (batch-audit), the resource (up to 50 product records), and the exact checks performed (duplicate SKUs, missing attributes, malformed URLs, net contribution per order). An agent can distinguish this bulk-audit tool from point-estimate siblings like penny_margin or penny_target_price without opening any schema.

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 gives usage contexts ('scheduled ecommerce catalog ingestion and agent product publishing'), which implies when the tool fits, but never states when NOT to use it or names an alternative sibling for single-record or margin-only work. The routing signal is suggestive rather than decisive.

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