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sandipprajapatiinic

Website Intelligence MCP

analyze_content

Analyze a webpage's content quality and structure to find readability issues, keyword gaps, and structural flaws for better content optimization.

Instructions

Analyze basic content quality and structure

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.1/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It discloses nothing about what "quality" is measured, what "structure" is inspected, whether it fetches the page, what permissions or rate limits apply, or what the result contains. "Basic" implies a limited scope but is not a behavioral fact.

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

Conciseness3/5

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

One short, front-loaded phrase with no padding, but the terseness reflects under-specification rather than disciplined conciseness. Nothing extraneous, yet nothing that earns the reader's attention either.

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?

With no annotations, no output schema, and 0% schema coverage, the description must supply all context, and it does not. An agent does not learn what is analyzed, what is returned, or how this differs from the overlapping analyze_headings/analyze_technical siblings.

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

Parameters2/5

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

Schema description coverage is 0% and the description never mentions the url parameter — its format expectations, whether it must be absolute/accessible, or what happens on unreachable URLs. Even though the single uri parameter is largely self-evident, the description adds no meaning beyond the schema.

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

Purpose2/5

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

"Analyze basic content quality and structure" gives a verb and a loose resource, but "content quality and structure" is vague and does not distinguish this tool from siblings like analyze_headings, analyze_title, or analyze_accessibility, which all plausibly cover content structure. An agent cannot tell what this tool uniquely does.

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 guidance on when to use this tool versus the 27 other analyze_* siblings, and no prerequisites or exclusions. The word "basic" hints at a shallow pass but does not route the agent to an alternative for deeper analysis.

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