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ENTIA Entity Verification MCP

Get Platform Stats

get_platform_stats
Read-onlyIdempotent

Live platform stats: entities count, countries, sources, homes published.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
_metaNo
statusNo
cache_ttlNo
countriesNo
borme_actsNo
_unverifiedNoFigures NOT independently verified — honesty marker, do not quote as verified
last_updatedNo
sources_activeNo
total_entitiesNo
homes_publishedNo
countries_activeNo
jsonld_generatedNo

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false, covering safety and idempotency. The description adds 'Live' to indicate real-time data, which is useful but not critical. No additional behavioral traits (e.g., rate limits, caching) are disclosed.

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 a single, front-loaded sentence that efficiently communicates the tool's purpose and output. Every word adds value, and there is no repetition or irrelevant detail.

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?

For a zero-parameter tool with rich annotations and an output schema, the description is largely complete. It specifies the nature ('Live') and the data categories. However, it could briefly mention that the output is a structured object matching the schema, or clarify whether 'Live' implies real-time vs. cached.

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

Parameters4/5

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

No parameters exist, so schema coverage is 100%. The description does not need to explain parameters. The baseline of 4 is appropriate since the tool requires no input and the description lists the output fields.

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 clearly states it provides 'Live platform stats' and lists specific metrics: entities count, countries, sources, homes published. The verb 'get' combined with resource 'platform stats' is unambiguous and distinct from siblings like entity_lookup or get_showcase.

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?

No guidance on when to use this tool vs alternatives. The sibling list includes other stats-like tools (e.g., get_entia_home, get_showcase), but the description offers no context for differentiation, such as scope or use case.

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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TDQS

A3.8/5.0
Disambiguation4/5

Most tools target distinct purposes: entity lookup vs. full dossier vs. VAT verification vs. professional lookup are clearly different. However, get_entia_home and get_entity_home_projection are very similar (both about Entia Home) and could cause confusion, though descriptions clarify the difference. Overall, overlaps are minimal and well-described.

Naming Consistency3/5

The naming mixes conventions: 'get_' prefix is used for 8 tools, but others like 'entity_lookup', 'professional_lookup', 'zone_profile' use noun phrases without a verb. 'run_risk_audit' and 'verify_vat' are verb-based but follow different patterns. The inconsistency could confuse an agent expecting a uniform verb_noun structure.

Tool Count5/5

With 12 tools, the server covers a broad but well-scoped domain of entity verification and business intelligence. Each tool serves a clear purpose, and the count is neither too sparse nor overwhelming for the intended functionality.

Completeness4/5

The tool surface covers core entity lookup, search, dossier, VAT, professional verification, and even added value like risk audit and zone profiling. Minor gaps exist (e.g., no tool for updating entity data), but for a read-heavy verification service, the set is comprehensive and leaves few dead ends.

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