Bulk SEO Analyse

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

Annotations are absent, so the description must disclose behavioral traits. It only states that the tool analyzes posts for SEO issues, but does not clarify whether it is read-only, what kind of results it returns, or any side effects. This lack of behavioral disclosure forces the agent to assume the operation is non-mutating and purely diagnostic.

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 a single, concise sentence that directly conveys the tool's purpose without redundancy. It is front-loaded and efficiently worded, earning the highest score for structure.

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 absence of annotations and output schema, the description is not sufficiently complete. It does not explain what the tool returns (e.g., a list of issues, a report, a score) or any operational details such as pagination or error behavior. This is a clear gap for an agent that needs to correctly invoke the tool and interpret its result.

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?

The input schema already provides full descriptions for all three parameters (limit, status, postType) with 100% coverage. The tool description adds no additional parameter semantics. The baseline score of 3 is appropriate given the schema's completeness.

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 function: 'Analysiert mehrere Posts auf SEO-Probleme' (analyzes multiple posts for SEO issues). It specifies a verb (analysiert), a resource (mehrere Posts), and a purpose (SEO-Probleme), making its role distinct from single-content SEO analysis tools like seo_analyze_content.

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?

No guidance is provided on when to use this tool versus alternatives. The word 'mehrere' implies bulk analysis, but there is no explicit differentiation from single-post analysis tools or any mention of when-not-to-use. The description offers no context for choosing this tool over siblings.

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