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thatsheaps

SEO Experts MCP

by thatsheaps

get_expert_pov

Retrieve a specific SEO expert's signature point of view and identify where their corpus is rich or thin to accurately represent their stance.

Instructions

Get a specific SEO expert's signature point of view and where their corpus is rich vs thin. Use before representing their view.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
expertYesExpert slug, e.g. harry-sanders
Behavior4/5

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 behavioral disclosure. It adds meaningful details about what the tool returns ('signature point of view' and 'corpus rich vs thin') and implies a read-only, preparatory operation. While it does not discuss errors or side effects, the nature of the tool (a getter) makes this sufficient.

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

Conciseness5/5

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

The description is two concise sentences with the primary action front-loaded. Every word earns its place, and there is no redundant repetition of the tool name or schema details.

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

Completeness4/5

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

With one parameter, no output schema, and no annotations, the description covers the essential purpose and usage. It indicates the type of information returned ('point of view', 'corpus rich vs thin') and the appropriate context ('before representing their view'), making it complete enough for a simple getter tool.

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

Parameters3/5

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

The schema fully describes the single parameter 'expert' with an example ('harry-sanders'), so baseline is 3. The tool description does not add additional parameter-specific syntax or formatting details beyond what the schema already provides.

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 clearly states the action ('Get') and the specific resource ('a specific SEO expert's signature point of view') along with the distinguishing element ('where their corpus is rich vs thin'). This differentiates it from sibling tools like list_seo_experts and query_seo_experts, making the purpose unambiguous.

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

Usage Guidelines4/5

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

The description provides explicit usage context with 'Use before representing their view,' clearly indicating when this tool should be invoked. It does not explicitly mention alternatives or when not to use it, but the specific use case is clear enough to guide an agent.

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

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