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hellocybernetics

pyX-MCP

create_thread

Create a multi-post thread on X from a long text, with optional sentence or paragraph splitting and rollback on error.

Instructions

Create a multi-post thread from long text

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesFull text content that will be split into a thread
chunk_limitNoMaximum characters per post segment
in_reply_toNoPost ID to reply to with the first segment
split_strategyNoOptional split strategy. 'simple' (default) splits by whitespace; 'sentence' keeps sentences together; 'paragraph' respects blank lines.
rollback_on_failureNoWhether to delete previously created posts if a later segment fails
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It fails to disclose key behavioral traits such as that the text is split into multiple posts, that failures may trigger rollback, or any authentication or rate-limit implications. The description is too vague.

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

Conciseness3/5

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

The description is a single sentence that efficiently states the core purpose, but it is overly brief and omits important context and usage details, reducing its overall utility.

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 the tool has 5 parameters, no output schema, and multiple sibling tools, the description is incomplete. It fails to explain the splitting mechanism, the structure of the resulting thread, or how parameters affect behavior, leaving significant gaps for an agent.

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%, with each parameter already having a detailed description. The tool description adds no additional meaning beyond the schema, so a baseline score of 3 is appropriate.

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 verb 'Create' and resource 'multi-post thread from long text', distinguishing it from sibling 'create_post' which presumably creates a single post.

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

Usage Guidelines3/5

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

The description does not explicitly state when to use this tool versus alternatives like 'create_post'. While the name and description imply it is for long text that needs splitting, no guidance on exclusion or context is provided.

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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