get_tweet_by_id
Fetch a specific tweet using its unique ID to retrieve content, metadata, and engagement data for analysis or integration.
Instructions
Fetch a specific tweet by ID
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Tweet ID |
Fetch a specific tweet using its unique ID to retrieve content, metadata, and engagement data for analysis or integration.
Fetch a specific tweet by ID
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Tweet ID |
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 states 'fetch' implies a read operation, but doesn't cover aspects like authentication requirements, rate limits, error handling (e.g., invalid IDs), or response format. For a tool with zero annotation coverage, this leaves significant gaps in understanding its 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?
The description is a single, efficient sentence with zero wasted words. It front-loads the core purpose ('Fetch a specific tweet') and avoids redundancy, making it easy to parse quickly.
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 low complexity (single parameter, no output schema) and high schema coverage, the description is minimally adequate. However, it lacks context on usage guidelines and behavioral traits, which are important for an agent to invoke it correctly. Without annotations or output schema, more detail would improve completeness.
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 input schema has 100% description coverage, with the 'id' parameter documented as 'Tweet ID'. The description adds no additional meaning beyond this, as it only repeats 'by ID' without elaborating on format (e.g., numeric string) or constraints. With high schema coverage, the baseline score of 3 is appropriate.
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 'Fetch a specific tweet by ID' clearly states the action (fetch) and resource (tweet), with the qualifier 'specific' indicating it retrieves a single item. However, it doesn't explicitly differentiate from sibling tools like 'get_user_tweets' or 'search_tweets', which also fetch tweets but with different scopes.
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 no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing a tweet ID), exclusions (e.g., not for bulk retrieval), or comparisons to siblings like 'get_user_tweets' (for multiple tweets by a user) or 'search_tweets' (for query-based results).
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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