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generate_blog

Generate a professional blog post for a CreatorOS project. Provide project ID and topic to receive ready-to-publish content.

Instructions

Generate a professional blog post 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

C2.8/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of disclosing behavior. It only states that the tool generates a blog post, without mentioning any side effects (e.g., whether the post is saved to the project), limits, or asynchronous behavior. The word 'professional' hints at tone but does not reveal how the generation process behaves or what the agent should expect.

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

Conciseness4/5

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

The description is a single efficient sentence with no filler. It front-loads the core action and resource. However, it sacrifices informative content for brevity, making it more under-specified than truly concise.

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 simple and has an output schema, the description is too thin for an agent to call it correctly in the context of many similar generation tools. It lacks usage context, parameter explanations, and any note about what the result is or how it integrates with a project. The output schema may document returns, but the input side is underserved.

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?

Schema description coverage is 0%, so the description must compensate by explaining parameters, but it doesn't mention 'topic,' 'project_id,' or 'tone' at all. The only hint is 'professional,' which only loosely maps to the tone parameter's default. The schema provides types and defaults, but the description adds no semantic meaning or usage context for any parameter.

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 uses a specific verb ('Generate') and a concrete resource ('a professional blog post'), scoped to 'a CreatorOS project.' This cleanly distinguishes it from sibling tools like generate_linkedin_post or generate_youtube_script, which target different content 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?

There is no explicit guidance on when to choose this tool over alternatives, nor any mention of exclusions. An agent must infer from the tool name and the sibling list that this is for blog content only, which is implied rather than stated. No context or routing cues are provided.

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