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Eyalm321
by Eyalm321

zernio_twitter_unlike

Unlike a tweet from your connected Twitter/X account by providing the account ID and tweet ID.

Instructions

Unlike a tweet from a connected Twitter/X account.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
accountIdYesThe Twitter account ID
tweetIdYesThe tweet ID to unlike
Behavior2/5

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

Without annotations, the description should disclose behavioral traits. It says 'Unlike' indicating mutation, but doesn't mention side effects, required permissions, or that it only works on liked tweets. Annotations absent, so description fails to compensate.

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

Conciseness4/5

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

Single sentence, no waste. Could be expanded slightly to include context, but efficient.

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

Completeness2/5

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

Given simplicity (2 params, no output schema), the description is minimal. Lacks context on preconditions (must have liked tweet) and error cases. Not complete for an agent to use correctly without additional knowledge.

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

Parameters3/5

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

Schema coverage is 100% with clear parameter descriptions. The tool description adds no extra meaning beyond what the schema provides, so baseline of 3 is appropriate.

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

Purpose4/5

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

The description clearly states the action ('Unlike') and resource ('tweet from a connected Twitter/X account'). It distinguishes from sibling tools like zernio_twitter_like, but could be more specific about reversing a like.

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?

No guidance on when to use this tool versus alternatives (e.g., zernio_twitter_like). It does not mention prerequisites like the tweet must be previously liked, or that the account must be authenticated.

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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