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delimit_social_generate

Generate a social media post draft for review. Select from tip, changelog, insight, or engagement categories to receive text tailored to your needs.

Instructions

Generate a social media post without posting (Pro).

Categories: tip, changelog, insight, engagement. Returns the generated text for review before posting.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
categoryNotip

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations, the description carries full burden. It discloses that the tool generates text and does not post, but lacks details on side effects, authorization needs (though 'Pro' hints at licensing), or rate limits. Behavior is mostly transparent but could be richer.

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 two sentences, front-loading the core purpose and efficiently covering categories and return. Every sentence adds value, with no wasted words.

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 tool with one parameter and an output schema (presumably describing the returned text), the description covers purpose, categories, and return use. It omits stating the default category, a minor gap given the schema defines it. Overall sufficient for an AI agent.

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 only parameter 'category' has no description in the schema (0% coverage). The description compensates by listing possible values (tip, changelog, insight, engagement), adding significant meaning. However, it does not clarify the default value or specify that these are the only allowed values, which prevents a perfect score.

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 it generates a social media post without posting, and lists specific categories (tip, changelog, insight, engagement). This distinguishes it from siblings like delimit_social_post (which posts) and delimit_social_approve (which approves), making the purpose explicit.

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 for drafting by saying 'without posting' and 'for review before posting.' It does not explicitly state when not to use or name alternatives, but the context is clear enough for an AI agent to infer 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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