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ENTIA Entity Verification

by io.github.entia-systems-core
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Get Entia Home

get_entia_home
Read-onlyIdempotent

Retrieve the Schema.org JSON-LD @graph for a specific entity's Entia Home (machine layer at /v1/identity/{country}/{sector}/{city}/{slug}.jsonld). Requires country, sector, city, slug path segments — not cif/q. Obtain the path via entity_lookup / showcase (canonical_url). Fail-closed: never returns ENTIA corporate marketing as if it were the entity.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityYesCity slug (madrid, barcelona, london)
slugYesBusiness slug (clinica-dental-sonrisa)
sectorYesIndustry slug (dental, legal, talleres, …)
countryYesISO 3166-1 alpha-2 (es, gb, fr)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
_metaNo
@graphNoWebPage, Entity, Verification Report and Territorial Profile nodes
@contextNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
+  "additionalProperties": true,
+  "description": "Full Schema.org @graph of an Entia Home page — the same truth as its public HTML twin.",
+  "properties": {
+    "@context": {
+      "type": "string"
+    },
+    "@graph": {
+      "description": "WebPage, Entity, Verification Report and Territorial Profile nodes",
+      "items": {
+        "type": "object"
+      },
+      "type": "array"
+    },
+    "_meta": {
+      "type": "object"
+    }
+  },
+  "type": "object"
+}
  2. Changed1 schema field changed
    • addedInput schema / additionalProperties
      Added value: +false
  3. Changed6 schema fields changed
    • removedInput schema / $schema
      Removed value: -"http://json-schema.org/draft-07/schema#"
    • removedInput schema / additionalProperties
      Removed value: -false
    • changedInput schema / properties / city / description
      Previous value: -"City slug, lowercase with hyphens (e.g. \"madrid\", \"barcelona\", \"london\")"New value: +"City slug (madrid, barcelona, london)"
    • changedInput schema / properties / country / description
      Previous value: -"ISO 3166-1 alpha-2 country code, lowercase (e.g. \"es\", \"gb\", \"fr\")"New value: +"ISO 3166-1 alpha-2 (es, gb, fr)"
    • changedInput schema / properties / sector / description
      Previous value: -"Industry slug (e.g. \"dental\", \"legal\", \"talleres\", \"estetica\", \"inmobiliarias\")"New value: +"Industry slug (dental, legal, talleres, …)"
    • changedInput schema / properties / slug / description
      Previous value: -"URL-safe business name slug (e.g. \"clinica-dental-sonrisa\")"New value: +"Business slug (clinica-dental-sonrisa)"
  4. First observed

TDQS

A4.4/5.0
Behavior5/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, and destructiveHint=false. The description adds critical context beyond annotations: it reveals the machine-layer URL structure, the exact data format (JSON-LD @graph), and the 'fail-closed' behavior that prevents confusion with corporate marketing. This is precisely the kind of behavioral detail annotations alone cannot provide.

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 extremely dense and front-loaded: two sentences with zero waste. The first sentence identifies the exact action, resource, and URL pattern. The second sentence provides critical usage guidance (path sourcing) and behavioral guarantee (fail-closed). Every clause serves a distinct purpose.

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?

Given the existence of an output schema (covering return values), a clear input schema (100% coverage), and strong annotations, the description is complete for an agent: it explains what the tool retrieves, how to get the right path, and what failure behavior to expect. A 5 would require mentioning a prerequisite (e.g., 'entity_lookup must be called first to obtain the canonical_url') or potential error cases.

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 coverage is 100% with each parameter having a description and regex pattern. The description reinforces the path-segment nature of the parameters ('country, sector, city, slug path segments') but adds no new constraints or semantics beyond what the schema already provides. A baseline 3 is appropriate.

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 uses specific verbs ('Retrieve the Schema.org JSON-LD @graph') and names the exact resource ('Entia Home (machine layer at /v1/identity/{country}/{sector}/{city}/{slug}.jsonld)'). It clearly distinguishes itself from siblings like 'get_showcase' and 'entity_lookup' by detailing the path structure and data format.

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 explicitly states that the path must come from 'entity_lookup / showcase (canonical_url)' and clearly excludes using 'cif/q'. It does not, however, explicitly state when NOT to use this tool compared to siblings like 'get_entity_home_projection' or 'get_full_dossier', which would elevate it to a 5.

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

All ENTIA Entity Verification toolsInspect
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