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

Annotations only declare readOnlyHint and openWorldHint=false, so the description earns credit for disclosing the return format (markdown table) and the exact columns produced — provider, free tier, limits, card rules, catch, expiry, status. It does not say what happens with an unknown or ineligible slug, which is the one behavioral gap.

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?

A single sentence with no filler, front-loading the output shape and then the argument. Every clause carries information an agent needs.

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 column list is genuinely needed and supplied. But error behavior for bad slugs, whether offers can be ineligible, and ordering of rows are all unaddressed, leaving gaps for a tool whose output structure matters.

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 load. It identifies the parameter as offer slugs and restates the 2-8 range (already encoded in minItems/maxItems) but never says where slugs come from or what form they take, so it only partly compensates.

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 names a specific output (a markdown comparison table with enumerated columns) for a specific resource (offers), which an agent can tell apart from get_offer (single offer) and search_free_ai_offers (discovery). It is stated as a noun phrase rather than a verb, so the action is implied rather than declared.

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?

Saying the tool takes '2-8 offer slugs' implies slugs must already be known and thus that search_free_ai_offers or get_offer come first, but no alternative is named and no when/when-not condition is given. Usage is inferred rather than stated.

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