mcp-server

About Mirabello

get_about

Read-only

About Mirabello Consultancy: track record (cases, approval rate), credentials (IMC, ACAMS), offices, languages, services. Use for "who is Mirabello / why use them / are they reputable" questions.

Input Schema

TableJSON Schema

Name	Required	Description	Default
No arguments

Output Schema

TableJSON Schema

Name	Required	Description
`error`	No	Present only when the request could not be fulfilled.
`terms`	No	Acceptable-use and information-not-advice terms.
`source`	No	Attribution for the data, when it is not Mirabello Consultancy itself.
`book_url`	No	Link to request a consultation with a Mirabello specialist, for a personal case.
`provider`	No	Always "Mirabello Consultancy".
`disclaimer`	No	Information, not legal/tax/financial/immigration advice; figures indicative.
`data_updated`	No	Date the underlying dataset was last updated.

Schema Changelog

Changes observed during successful MCP inspections.

Changed3 schema fields changedOct 8, 2026

removedOutput schema / properties / book_a_consultation

Removed value: -{
-  "description": "URL to book a Mirabello consultation.",
-  "type": "string"
-}

addedOutput schema / properties / book_url

Added value: +{
+  "description": "Link to request a consultation with a Mirabello specialist, for a personal case.",
+  "type": "string"
+}

changedOutput schema / properties / source / description

Previous value: -"Attribution for the data."New value: +"Attribution for the data, when it is not Mirabello Consultancy itself."

Changed1 schema field changedJul 27, 2026

changedOutput schema / (root)

Previous value: -nullNew value: +{
+  "additionalProperties": true,
+  "description": "Mirabello response envelope. Tool-specific fields vary; the provenance/disclaimer envelope is always present.",
+  "properties": {
+    "book_a_consultation": {
+      "description": "URL to book a Mirabello consultation.",
+      "type": "string"
+    },
+    "data_updated": {
+      "description": "Date the underlying dataset was last updated.",
+      "type": "string"
+    },
+    "disclaimer": {
+      "description": "Information, not legal/tax/financial/immigration advice; figures indicative.",
+      "type": "string"
+    },
+    "error": {
+      "description": "Present only when the request could not be fulfilled.",
+      "type": "string"
+    },
+    "provider": {
+      "description": "Always \"Mirabello Consultancy\".",
+      "type": "string"
+    },
+    "source": {
+      "description": "Attribution for the data.",
+      "type": "string"
+    },
+    "terms": {
+      "description": "Acceptable-use and information-not-advice terms.",
+      "type": "string"
+    }
+  },
+  "type": "object"
+}

AddedJun 5, 2026

TDQS

A4/5.0

Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so safety and scope are covered structurally; an output schema also exists. The description's content inventory is mildly useful orientation but adds no behavioral detail beyond the structured fields — no note on whether this is static marketing copy versus live data, nor freshness/caching behavior.

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?

Two sentences, zero filler: the first front-loads the content inventory, the second front-loads the usage trigger. Nothing is repeated from the title or schema, and no sentence is disposable.

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

Completeness5/5

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

A parameterless, read-only profile tool with an output schema needs only to say what content it yields and when to reach for it — both are present. Return-value detail is legitimately delegated to the output schema, so nothing an agent needs to call it correctly is missing.

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?

The tool takes zero parameters, so per the rubric the baseline is 4. The description correctly implies a parameterless profile fetch by describing only content, with no confusing hints about optional filters that do not exist.

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?

Names a specific resource (Mirabello Consultancy) and enumerates exactly what it returns: track record (cases, approval rate), credentials (IMC, ACAMS), offices, languages, services. This clearly separates it from the topical siblings (get_programme, get_country, estimate_total_cost), though the verb is implicit in the trade name 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 Guidelines4/5

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

Explicitly states the triggering queries: '"who is Mirabello / why use them / are they reputable" questions' — an agent can recognize the intent immediately. It stops short of naming alternatives or exclusions (e.g., 'use get_provenance for source data about specific facts'), so it is clear context without routing.

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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