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Eyalm321
by Eyalm321

zernio_validate_post

Checks post content against platform-specific rules including character limits, hashtag limits, and media requirements to ensure compliance before publishing.

Instructions

Validate post content against all platform rules before publishing (character limits, hashtag limits, media requirements, etc.).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYesThe post content to validate
platformYesThe target platform: facebook, instagram, twitter, linkedin, tiktok, etc.
mediaIdsNoMedia IDs to include in validation
Behavior3/5

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

No annotations are provided, so the description must fully convey behavioral traits. It indicates a read-only validation operation but does not explicitly state that no changes are made, nor does it mention authentication requirements, rate limits, or error handling details.

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 a single, well-structured sentence that efficiently conveys the tool's purpose without unnecessary words or repetition.

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?

Although the tool is relatively simple with three parameters, there is no output schema, and the description does not explain what the tool returns (e.g., validation errors, success status). This omission leaves agents uncertain about how to interpret results.

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 descriptions for all three parameters (content, platform, mediaIds). The description adds context about the types of rules checked but does not provide additional semantic details beyond what the schema already offers.

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 the tool validates post content against all platform rules, listing specific examples like character limits, hashtag limits, and media requirements. This specific verb-resource combination distinguishes it from sibling tools such as zernio_validate_post_length and zernio_validate_media.

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

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage 'before publishing', providing clear context. However, it does not explicitly mention when not to use this tool or list alternatives like zernio_validate_post_length for specific checks.

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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