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generate_twitter_thread

Generate a Twitter/X thread for a CreatorOS project by providing project ID and topic to create a structured thread.

Instructions

Generate a Twitter/X thread for a CreatorOS project.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toneNoProfessional
topicYes
project_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.2/5.0
Behavior1/5

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

No annotations are provided, so the description carries the full burden of disclosing behavioral traits such as side effects, output format, or whether the thread is saved. The description simply says 'generate' without any additional context. This is inadequate for a tool that likely creates content and interacts with a project.

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 concise and front-loads the main action, but it is under-specified. It is a single sentence with minimal information, which could be considered efficient but lacks necessary structure. It does not list parameters or usage notes, making it somewhat hollow despite being short.

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

Completeness1/5

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

Given the tool has three parameters, an output schema, and no annotations, the description is nowhere near complete. It fails to explain what a 'thread' involves, how the topic and tone influence it, or what the output might look like. An agent would need to inspect the schema and output schema to understand the tool's behavior, but with no descriptive support, the context is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has three parameters (tone, topic, project_id) with 0% schema description coverage. The description does not mention any of these parameters or their roles. Since the schema coverage is low and the description offers no compensation, an agent has to rely solely on the schema, which may lack sufficient semantic detail (e.g., what 'tone' accepts beyond a default).

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Generate') and the resource ('Twitter/X thread') and scopes it to 'a CreatorOS project'. This distinguishes it from sibling tools like generate_linkedin_post or generate_youtube_script, which target different platforms. However, it lacks any detail about the project context or what makes this tool unique beyond the platform.

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?

There is no guidance on when to use this tool versus alternatives, no mention of prerequisites (e.g., project must exist), or conditions that would make this tool preferable. The description only explains what it does, leaving the agent to infer usage from the tool name and siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.