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content_distribute

Generate a complete, platform-optimized content strategy for any product, feature, achievement, or idea. Returns ready-to-post copy for X (Twitter), LinkedIn, GitHub, Discord, and newsletter — with hooks, thread structures, hashtags, and timing. 3 free/day.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hookNoOptional seed hook or angle to build from
toneNoContent tone — bold = aggressive numbers + verbs (default) | technical = specs + architecture | story = founder journey | casual = conversational
productYesWhat to amplify — product name, feature launch, achievement, or idea
platformsNoPlatforms to generate content for (default: all)
descriptionNoWhat it does, why it matters, and who it's for

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden of disclosing behavioral traits. It mentions a usage limit (3 free/day) and indicates the output is ready-to-post copy, but does not disclose whether the tool is destructive, requires authentication, or has any side effects. Given the generative nature, it is likely non-destructive, but this is not explicitly stated.

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: three sentences front-loading the core purpose, detailing the output, and stating a key limitation. Every sentence adds value without redundancy or fluff.

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

Completeness3/5

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

Given the absence of an output schema and annotations, the description provides adequate context for a generative tool: what it does, what it returns, and a usage limit. However, it lacks details on expected response format, error handling, or whether it can handle multiple products in one call (the schema only requires one product). It is sufficient but not fully comprehensive.

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 description coverage is 100%, so the baseline is 3. The tool description does not add significant meaning beyond the parameter descriptions in the schema; it provides overall context but does not clarify parameter syntax, defaults, or relationships beyond what is already in the schema.

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 complete, platform-optimized content strategy for any product, feature, achievement, or idea, and specifies the platforms and elements included (hooks, thread structures, hashtags, timing). This provides a specific verb-resource combination and differentiates from siblings like 'thread_craft' or 'email_write' by covering multiple platforms and formats.

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 does not provide any guidance on when to use this tool versus alternatives, nor does it mention when not to use it. It gives no context about prerequisites, limitations other than the 3-free-per-day rate, or comparison with similar tools like 'thread_craft' for threads or 'email_write' for newsletters.

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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TDQS

A3.5/5.0
Disambiguation3/5

Many tools have distinct purposes, but there are several overlapping or redundant tools (e.g., leadsignal vs leadsignal_generate, multiple code audit tools, multiple trading proposal/journal tools, and several 'universal' entry points like zambo_help, zambo_ask, zambo_universal). Descriptions help, but the volume creates ambiguity.

Naming Consistency3/5

Naming conventions vary across prefixes (zambo_, zambot_, axis_, presence_, trading_, etc.), with some tools using single words (weather, translate) and others using verb_noun patterns. Aliases like leadsignal_generate for leadsignal break consistency. While prefixes provide some grouping, the overall pattern is mixed.

Tool Count2/5

125 tools is excessive for a single MCP server, even if the server aims to be a universal stack. This makes it overwhelming for agents to navigate and increases the likelihood of misselection. Many tools could be split into domain-specific servers.

Completeness5/5

The tool surface is extraordinarily comprehensive, covering agent identity, cross-layer orchestration, code analysis, content generation, legal scanning, lead generation, trading, on-chain data, and more. Nearly any common agent task is supported with multiple tools, leaving few obvious gaps.

Resources