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tangivis

twikit-mcp

by tangivis

unfavorite_tweet

Remove your like from a tweet by providing its ID.

Instructions

Unlike a tweet by ID.

Args: tweet_id: The tweet ID to unlike.

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?

With no annotations provided, the description bears full responsibility for behavioral disclosure. It only states the action (unlike) but omits important traits such as reversibility, authorization requirements, or rate limits. The description lacks depth beyond the basic operation.

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, using only two short sentences. It is front-loaded with the action and purpose, and every word is essential. There is no superfluous information.

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

Completeness5/5

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

Given the tool's simplicity (one parameter, no nested objects, existing output schema), the description is complete. It clearly defines the input and action. The presence of an output schema eliminates the need to describe return values.

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?

The input schema has 0% description coverage for its single parameter, but the description explicitly explains that 'tweet_id' is the ID of the tweet to unlike. This adds necessary meaning and fully compensates for the missing schema-level description.

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 uses a specific verb 'Unlike' with a clear resource 'a tweet by ID', making the action immediately understandable. It effectively distinguishes the tool from its siblings, such as 'like_tweet' or 'delete_tweet', leaving no ambiguity about its function.

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 (e.g., 'like_tweet' or 'delete_tweet'). There is no mention of prerequisites, such as the tweet needing to be previously liked, or any context about appropriate use cases.

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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