get_conversation

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions retrieving a 'full conversation/thread' but lacks details on permissions required, rate limits, pagination (implied by 'count' parameter), error handling, or what 'full' entails. This is a significant gap for a read operation tool with zero annotation coverage.

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 a single, efficient sentence that directly states the tool's purpose without unnecessary words. It is front-loaded and wastes no space, making it easy to parse quickly for an AI agent.

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 has an output schema (which likely defines return values), the description doesn't need to explain outputs. However, with no annotations, 2 parameters (0% schema coverage), and complexity in defining 'full conversation', the description is incomplete—it lacks behavioral context and parameter semantics, making it only minimally adequate for basic understanding.

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 schema provides no parameter details. The description does not explain the parameters 'tweet_id' or 'count', leaving their semantics unclear (e.g., format of tweet_id, what 'count' controls). Since parameters exist but are undocumented, the baseline is 3, as the description adds no value beyond the schema's structural information.

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 ('Get') and resource ('full conversation/thread for a tweet'), making the purpose understandable. It distinguishes this from siblings like 'get_replies' or 'get_tweet_details' by specifying it retrieves the entire conversation thread. However, it doesn't explicitly mention what constitutes a 'full conversation' (e.g., includes replies, quotes, retweets?), leaving some ambiguity.

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?

No explicit guidance on when to use this tool versus alternatives like 'get_replies' or 'get_tweet_details' is provided. The description implies usage for retrieving conversation threads, but it doesn't specify prerequisites, limitations, or comparative contexts with sibling tools, leaving the agent to infer usage scenarios.

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