weekly_deals

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It describes what the tool returns (item name, original price, sale price, savings) which is helpful, but doesn't mention important behavioral aspects like whether this requires authentication, rate limits, freshness of data, or pagination for large result sets. The description adds some value but leaves significant gaps.

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 description is perfectly concise with two sentences that each earn their place: the first states the core purpose, and the second explains optional filtering and return values. There's zero wasted language, and information is front-loaded with the primary function stated immediately.

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?

Given the tool's moderate complexity (single optional parameter, no output schema, no annotations), the description is adequate but has clear gaps. It explains what the tool does and what it returns, but doesn't cover behavioral aspects like authentication needs, data freshness, or error conditions. For a tool that fetches current promotional data, more context about data sources and limitations would be helpful.

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?

The schema description coverage is 100% (the single parameter 'category' is fully documented in the schema), so the baseline is 3. The description adds value by explaining the optional nature of filtering ('Optionally filter by category') and providing context about what happens when omitted ('Omit to get deals across all categories'), which enhances understanding beyond the schema's technical specification.

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 clearly states the tool's purpose with a specific verb ('Get'), resource ('weekly deals and specials at Publix'), and scope ('current'). It distinguishes from sibling tools like 'product_search' (which likely searches individual products) and 'store_finder' (which finds store locations) by focusing specifically on promotional deals.

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 implies usage context ('Get the current weekly deals') but doesn't explicitly state when to use this tool versus alternatives. It mentions optional filtering by category but doesn't provide guidance on when filtering is appropriate versus getting all deals. No explicit exclusions or comparisons to sibling tools are provided.

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