armavita-originality-ai-mcp

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It describes the tool's core functionality and mentions automatic content fetching, but doesn't cover important behavioral aspects like rate limits, authentication requirements, processing time, or what happens when checks fail. The description doesn't contradict any annotations.

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

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

The description is perfectly front-loaded with the core purpose in the first sentence, followed by supporting context. Every sentence adds value: the first defines the tool, the second explains the service mechanism, and the third provides usage scenarios. No wasted words or redundancy.

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

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

For a tool with 8 parameters, no annotations, and no output schema, the description provides adequate but incomplete context. It covers the 'what' and 'why' well but lacks information about behavioral constraints, error conditions, and output format. The high schema coverage helps, but more behavioral context would be beneficial.

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

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

Schema description coverage is 100%, providing comprehensive parameter documentation. The description doesn't add any parameter-specific information beyond what's in the schema, but establishes the overall purpose and context for the parameter set. With high schema coverage, the baseline score of 3 is appropriate.

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

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

The description clearly states the specific action ('Scan a published URL') and resources analyzed ('AI content, plagiarism, readability, and grammar'), distinguishing it from siblings like scan_ai or scan_plagiarism that focus on single aspects. It explicitly mentions the service provider (Originality.ai) and its automatic content extraction.

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

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

The description provides clear context for when to use this tool ('audit competitor content or verify published articles'), but doesn't explicitly state when not to use it or name specific alternatives among the sibling tools. It implies comprehensive scanning versus more targeted sibling tools.

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