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tangivis

twikit-mcp

by tangivis

get_tweet

Fetch a specific tweet by ID or URL to access its content and metadata.

Instructions

Fetch a tweet by ID.

Args: tweet_id: The tweet ID (numeric string) or full URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tweet_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It only says 'Fetch a tweet by ID,' which implies a read-only operation but does not explicitly confirm read-only behavior, rate limits, authentication requirements, or how errors are handled. This is a significant gap for a tool with no annotation support.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise: one purpose sentence plus a single parameter explanation. No fluff or repetition, and the most important information is front-loaded. Every sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple single-parameter fetch operation with an output schema present, the description covers the core semantics well. However, it lacks usage guidance and explicit behavioral assurances, so it's not fully complete on its own. But given the tool's low complexity, it is nearly sufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Even though the schema allows anyOf integer/string, the description adds essential semantics by specifying that tweet_id can be a numeric string or a full URL. This goes beyond the schema's bare type information and helps the agent correctly construct inputs. The schema coverage is 0%, making this parameter clarification valuable.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states a specific action and resource: 'Fetch a tweet by ID.' This verb+resource pair is unambiguous and differentiates it from siblings like get_user_info, get_user_tweets, and search_tweets, which have different scopes or purposes.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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 does not mention when to prefer get_tweet over search_tweets or get_timeline, nor does it state any exclusions or prerequisites beyond providing a tweet ID. The only usage hint is the parameter description, which is not enough.

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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