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 what the tool returns ('keyword seed recommendations with min/max/current density targets') and mentions geographical limitation ('Currently supports United States only'), which are useful behavioral traits. However, it doesn't disclose important aspects like rate limits, authentication requirements, error conditions, or whether this is a read-only vs. mutation operation. The description adds some value but leaves significant behavioral gaps.

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 appropriately sized at three sentences. It's front-loaded with the core purpose, followed by return value information, then usage context and limitations. Every sentence adds value: purpose statement, output specification, and operational constraints. There's no wasted verbiage 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?

Given the tool's complexity (7 parameters, no output schema, no annotations), the description provides basic purpose and output information but lacks important context. It doesn't explain the return format in detail (beyond mentioning 'keyword seed recommendations'), doesn't mention error handling, and doesn't provide guidance on interpreting the SEO analysis results. For a tool with no output schema and no annotations, more completeness would be expected to help an agent use it effectively.

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%, so the schema already documents all 7 parameters thoroughly. The description doesn't add any parameter-specific information beyond what's in the schema. It mentions 'AI detection and readability' which relates to the 'check_ai' and 'check_readability' parameters, but this doesn't provide additional semantic context beyond the schema's descriptions. With high schema coverage, the baseline 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 tool's purpose: 'Run SEO content optimization analysis for a target keyword' and specifies it 'Returns keyword seed recommendations with min/max/current density targets.' This is a specific verb+resource combination. However, it doesn't explicitly distinguish this tool from sibling tools like 'scan_ai', 'scan_readability', or 'scan_full', which appear to be related content analysis tools.

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 some usage context: 'Combine with AI detection and readability for a full content quality check' and 'Currently supports United States only.' This implies when to use this tool (for SEO analysis) and mentions complementary tools. However, it doesn't explicitly state when NOT to use it or provide clear alternatives among the sibling tools (e.g., when to choose scan_seo vs scan_full vs scan_ai).

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