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AEORank — SEO, AEO & GEO Audit Engine

Generate 6-Tab Agentic Patch Pack & Remediation Prompt

generate_agent_patch_pack
Read-onlyIdempotent

Generate ready-to-deploy machine-readable patch files (/llms.txt, additive RFC 9309 robots.txt, XSS-safe Schema JSON-LD, agent-card.json, safe _headers, and .geo-answer-box Fan-Out HTML) plus a prompt-injection-hardened Coding Agent remediation prompt.

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": "generate_agent_patch_pack"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlYesTarget website URL or domain (e.g. https://example.com).
langNoOutput language ('en' or 'vi').
lead_tokenNoOptional email-verified lead token paired with scan_token.
scan_tokenNoOptional unlocked scan token from aeorank.app to include the full homepage finding list.

Output Schema

NameRequiredDescriptionDefault
okYes
domainYes
unlockedNo
patch_packYes
agent_promptYes
actions_includedNo
agentic_readinessNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true, and destructiveHint=false, so the safety profile is covered; note the mild tension between 'generate patch files' and readOnlyHint, though returning file contents in a response is consistent with a read-only call. Beyond annotations the description adds genuine value by naming the six artifacts produced, but says nothing about whether files are written anywhere, whether a prior scan/token is required, or how the pack is returned.

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 front-loaded sentence with zero filler, and the verb leads. The dense parenthetical enumeration of six artifacts is information-bearing rather than padding, though it reads as a spec dump rather than prose.

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?

An output schema exists, so return values need not be explained, and annotations cover idempotency and safety. However, for a generator that claims 'ready-to-deploy' artifacts, the description omits whether it mutates the target site, whether deployment is manual, and whether results differ with an unlocked scan_token — gaps the schema alone does not close.

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?

Schema description coverage is 100% and all four parameters (url, lang enum, lead_token, scan_token) are documented in the schema, including what scan_token unlocks. The description adds no parameter-level meaning such as whether lang changes filenames or whether lead_token/scan_token are jointly required, so the baseline 3 applies.

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?

States a specific verb (Generate) and an enumerated resource set: /llms.txt, RFC 9309 robots.txt, Schema JSON-LD, agent-card.json, _headers, and GEO answer-box HTML, plus a remediation prompt. This is unmistakably distinct from the sibling lookup/audit/search tools, so an agent can route here without opening a schema.

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 when-to-use, when-not-to-use, or prerequisite language. Nothing tells the agent that this should follow a scan, or how it differs from run_sandbox_audit as a remediation step. The 'ready-to-deploy' phrasing implies post-finding remediation but leaves the agent to infer it.

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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