assess_deal_quality

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

With no annotations, the description carries the full burden and largely meets it: it lists the inputs it fuses (temperature, comment reactions, poster reputation, deal age/status, title conditions), discloses that temperature can go negative, and defines the output contract (verdict with evidence, never a bare score). It omits failure modes, auth/permission needs, and any rate-limit or caching behavior.

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 core purpose in the first sentence, then layers scope, mechanism and output contract. It is somewhat prose-heavy across three short paragraphs, but each sentence adds usable information rather than restating the name.

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 2-parameter analytical tool with no output schema and no annotations, the description covers purpose, evidence sources, output shape and limitations adequately. The remaining gap is parameter-level detail, which is the one area callers would still have to guess at.

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 compensate for the two undocumented parameters, and it does not: 'id_or_slug' format and 'include_comments' are never mentioned, leaving it unclear how the boolean toggles the comment-reaction signal it describes. The mention of 'comment reactions' as an input loosely implies comments matter, but no real parameter guidance is given.

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 ('Judge whether the community believes a deal is genuine') and is easily distinguished from siblings like get_deal, get_deal_comments and search_deals, which retrieve raw data rather than render a sentiment verdict. The description also pins the scope of judgment (community belief, not merchant truth).

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?

Gives clear context for when this tool is the right one ('This is what Pelando has that a price comparator does not') and draws an explicit boundary around what it will not do ('cannot verify that the price is real or still available'). It stops short of naming sibling tools or routing conditions (e.g. use get_deal for raw facts), so it is strong but not fully explicit.

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