What Purdue students are talking about

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

No annotations are provided, so the description bears full responsibility. It discloses the source (Reddit, public feed), content nature (unofficial, opinion-based), and lack of university moderation. However, it does not state whether the tool is read-only, requires authentication, or has rate limits. The description adds value beyond the schema but lacks full behavioral details.

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 front-loaded with the main purpose ('Current posts from r/Purdue') and includes a relevant disclaimer. At three sentences, it is slightly verbose with example categories, but still efficient. No wasted words, but could be trimmed slightly without losing meaning.

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?

The description gives context on content type and source but does not describe the output format (e.g., titles, URLs, text, timestamps). Since there is no output schema, the description should compensate, but it only mentions 'posts' without structural details. The parameters are well-covered, but the return value is underspecified.

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 100%, so the schema already explains both parameters ('sort' and 'limit') with defaults and constraints. The description adds no additional meaning or guidance for parameter selection, such as recommending 'hot' for trending or 'new' for recent. Baseline 3 is appropriate when the schema is sufficient.

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 provides 'Current posts from r/Purdue' and lists example content (housing, campus gripes, events, advice). It effectively distinguishes from all sibling tools, which are official Purdue services (bus, dining, courses, etc.), making the Reddit community focus unique and unambiguous.

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 for informal student opinions ('unofficial student pulse', 'treat as opinion, not fact') but does not explicitly contrast with sibling tools like 'purdue_news' or 'purdue_exponent' for official information. While no direct alternative exists, guidance on when to prefer this over other sources is missing, though the context is implied.

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