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dante.forge_geo_shield

Generate production-ready llms.txt, AI catalog JSON, Schema.org JSON-LD, and robots.txt rules so AI crawlers can discover, interpret, and respect your brand data.

Instructions

Synthesize production-ready /llms.txt, /.well-known/ai-catalog.json, Schema.org JSON-LD, and robots.txt rules for AI crawlers.

Input Schema

NameRequiredDescriptionDefault
langNoes
brand_nameYesOfficial brand name (2..80 chars)
domain_urlYesCanonical website URL (https://...)
competitorsNo
official_factsYes
industry_contextYesIndustry category and positioning
products_or_servicesYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.1.0

TDQS

B3.1/5.0
Behavior2/5

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

No annotations exist, so the description carries the full behavioral burden and falls short. It does not say whether the tool writes files to a host, returns text blobs for the caller to deploy, or requires auth/domain verification — a critical distinction for a 'production-ready' artifact generator. No output schema exists to cover the return shape either.

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?

A single front-loaded sentence that packs the verb, all four output artifact types, and the target audience with zero filler. Nothing here can be cut without losing information.

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?

The description is complete about WHAT artifacts are produced, which is the most important piece. However, for a seven-parameter, five-required tool with no annotations and no output schema, it leaves open how inputs shape the artifacts and whether output is files or text — gaps an agent must guess at before calling.

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 coverage is only 43%, and the description adds nothing about the seven parameters — notably the five required ones (brand_name, domain_url, industry_context, products_or_services, official_facts) and the unexplained 'lang' default of 'es'. With low coverage the description should compensate with input guidance such as fact formatting or URL expectations, and it does not.

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?

The description names a specific verb ('Synthesize') and enumerates four concrete artifacts (/llms.txt, ai-catalog.json, Schema.org JSON-LD, robots.txt rules) for a specific audience (AI crawlers). This is unmistakably a generator, distinguishing it from audit/probe/query/remediate siblings by implication, though no sibling is named explicitly.

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

Usage Guidelines3/5

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

Usage is only implied: 'production-ready' suggests it belongs at the publishing/deployment stage rather than during diagnosis. There is no explicit when-to-use, when-not-to-use, or routing against dante.run_audit or dante.remediate_hallucination, which an agent choosing among five GEO tools would benefit from.

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