verify_social_tweet

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

With no annotations, the description must fully disclose behavior. It only mentions submission and a daily cap, omitting side effects (e.g., record creation), failure modes, or authorization needs. This is insufficient.

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 very concise (two sentences) and front-loads the core purpose. While efficient, it lacks structural elements like bullet points that could improve scannability.

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 simple tool with no output schema, the description still misses critical context: what 'points' are, how to obtain the tweet URL, expected response, and differentiation from verify_twitter. The user is left with unanswered questions.

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 description adds context that the tweet must tag @LaunchOnBasis, which clarifies the purpose of the tweet_url parameter. However, it does not specify required format (e.g., full URL vs. ID) or other constraints, leaving ambiguity.

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 action ('Submit a tweet tagging @LaunchOnBasis for points'), making the purpose evident. However, it does not distinguish from sibling tools like verify_twitter or verify_moltbook, which could cause confusion.

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 provides a rate limit ('Max 3/day') but offers no guidance on when to use this tool versus alternatives, no prerequisites, and no context for appropriate use cases.

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