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Analyze GEO Readiness

analyze_geo_readiness
Read-only

Analyze Generative Engine Optimization (GEO) signals and AI crawler readiness for a web page (schema, citations, provenance, answer structure, llms.txt, AI bot robots rules).

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "url": "<url>"
    },
    "name": "analyze_geo_readiness"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlYesThe web page URL to analyze for GEO readiness.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety and network-touching behavior are covered. The description usefully scopes what is examined, but says nothing about whether it fetches live content, how long it takes, or what the report contains.

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

Conciseness4/5

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

A single sentence, front-loaded with the verb and resource, with the parenthetical list earning its space by previewing the analysis dimensions. Slightly dense but free of filler.

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

Completeness3/5

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

Adequate for a single-URL read-only analyzer, but with no output schema the description never hints at the shape or depth of the result (scores, findings, pass/fail), leaving an agent to guess at return values.

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?

Only one parameter, and schema description coverage is 100%, so the schema fully documents 'url'. The description adds no format or constraint detail beyond what the schema already provides, which is the expected baseline here.

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

Purpose4/5

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

States a specific verb ('Analyze') and resource ('GEO signals and AI crawler readiness for a web page'), then enumerates the signal families it inspects (schema, citations, provenance, answer structure, llms.txt, robots rules). This clearly separates it from the SEO-flavored sibling audit_website_seo, though the contrast is implied rather than stated.

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?

Usage is only implied by 'for a web page'. There is no statement of when to reach for this tool versus audit_website_seo, no prerequisites, and no exclusions (e.g., single page vs whole site).

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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