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Eyalm321
by Eyalm321

zernio_twitter_like

Like a tweet from a connected Twitter account by providing the account ID and tweet ID.

Instructions

Like a tweet from a connected Twitter/X account.

Input Schema

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

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

No annotations provided, so description must disclose behavioral traits. It only states the action; missing info on authentication needs, idempotency (e.g., if already liked), or success/failure feedback.

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?

Single sentence, front-loaded with verb and resource. No extraneous words; efficient and to the point.

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?

Despite simple tool, description lacks context on expected outcome, error states, or prerequisites (e.g., account must be connected). For a mutation tool with no output schema or annotations, more behavioral context is needed.

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. Description adds nothing beyond schema, but baseline is 3 as schema already provides meaning.

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?

Description uses specific verb 'Like' and resource 'a tweet', clearly indicating the action. Sibling tools like zernio_twitter_unlike and zernio_twitter_retweet establish distinction.

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., retweet, bookmark, or when not to like). Context signals show many sibling tools, but description offers no decision help.

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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