Arc & Ledger Tax Tools

Get a fixed-fee quote

get_fee_quote

Read-only

Use this when a user asks what Arc & Ledger charges, or wants a price estimate for tax preparation, bookkeeping, business formation, or IRS help. Returns a published price range and line items, never a single committed number, plus what is included and the next step by complexity.

Input Schema

TableJSON Schema

Name	Required	Description
`details`	No
`service`	Yes	The kind of work you want priced.
`language`	No	Language for an availability or waitlist handoff: English (en), Turkish (tr), or Spanish (es).

Output Schema

TableJSON Schema

Name	Required	Description
`relay`	Yes	Instruction to the calling assistant: relay figures and dates verbatim (identical on every response).
`next_step`	Yes	A single review link appropriate to this server surface.
`disclaimer`	Yes	General-information disclaimer (identical on every response).
`source_url`	Yes	The arcandledger.com page that backs this answer.
`server_version`	No	Server release that produced this response (matches GET /version).

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedSep 11, 2026

addedInput schema / properties / language

Added value: +{
+  "description": "Language for an availability or waitlist handoff: English (en), Turkish (tr), or Spanish (es).",
+  "enum": [
+    "en",
+    "tr",
+    "es"
+  ],
+  "type": "string"
+}

Changed1 schema field changedJul 26, 2026

changedOutput schema / properties / next_step / description

Previous value: -"A single human handoff to the firm."New value: +"A single review link appropriate to this server surface."

Changed2 schema fields changedJul 13, 2026

addedOutput schema / properties / relay

Added value: +{
+  "description": "Instruction to the calling assistant: relay figures and dates verbatim (identical on every response).",
+  "type": "string"
+}

changedOutput schema / required

Previous value: -[
-  "disclaimer",
-  "source_url",
-  "next_step"
-]New value: +[
+  "disclaimer",
+  "relay",
+  "source_url",
+  "next_step"
+]

Changed1 schema field changedJul 12, 2026

changedOutput schema / (root)

Previous value: -nullNew value: +{
+  "additionalProperties": true,
+  "properties": {
+    "disclaimer": {
+      "description": "General-information disclaimer (identical on every response).",
+      "type": "string"
+    },
+    "next_step": {
+      "description": "A single human handoff to the firm.",
+      "properties": {
+        "label": {
+          "type": "string"
+        },
+        "url": {
+          "type": "string"
+        }
+      },
+      "required": [
+        "label",
+        "url"
+      ],
+      "type": "object"
+    },
+    "server_version": {
+      "description": "Server release that produced this response (matches GET /version).",
+      "type": "string"
+    },
+    "source_url": {
+      "description": "The arcandledger.com page that backs this answer.",
+      "type": "string"
+    }
+  },
+  "required": [
+    "disclaimer",
+    "source_url",
+    "next_step"
+  ],
+  "type": "object"
+}

First observedJul 8, 2026

TDQS

A4.1/5.0

Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=false, destructiveHint=false, so the safety profile is covered. The description adds genuinely new behavior: output is always a range, 'never a single committed number', plus included scope and a complexity-driven next step. That manages an agent's expectation about precision, which annotations cannot convey.

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?

Two sentences, front-loaded with the trigger condition before the return description. The second sentence is clause-dense but every clause adds usable information; nothing is redundant.

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?

An output schema exists, so return structure needn't be detailed, yet the description still characterizes the output (range, line items, inclusions, next step). Combined with a documented nested parameter object, an agent has enough to call this correctly; only the 'language' handoff parameter is left to the schema alone.

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 67% and the nested 'details' object is well documented in the schema itself. The description only indirectly hints that complexity (via details) drives the quote and says nothing about 'service' or 'language'. Baseline 3 is appropriate since the schema does most of the work.

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 and resource ('returns a published price range and line items') and identifies the pricing domains it covers. No sibling tool in the list offers pricing, so the agent can distinguish it immediately from the many check/estimate tools.

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 opening clause gives an explicit trigger ('use this when a user asks what Arc & Ledger charges, or wants a price estimate'), plus the service categories that qualify. It stops short of naming a specific alternative tool or an exclusion condition, but the pricing niche is unique among siblings so ambiguity is low.

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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