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by io.github.pipeworx-io
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Ic Get Contact

ic_get_contact
Read-onlyIdempotent

Get full contact details by ID. Returns name, email, phone, attributes, tags, and conversation history.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesContact ID

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoContact ID
nameNoContact name
tagsNo
emailNoContact email address
errorNoError code if connection required
phoneNoContact phone number
messageNoError message if connection required
conversationsNoConversation history
custom_attributesNoCustom contact attributes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
+  "properties": {
+    "conversations": {
+      "description": "Conversation history",
+      "type": "object"
+    },
+    "custom_attributes": {
+      "description": "Custom contact attributes",
+      "type": "object"
+    },
+    "email": {
+      "description": "Contact email address",
+      "type": "string"
+    },
+    "error": {
+      "description": "Error code if connection required",
+      "type": "string"
+    },
+    "id": {
+      "description": "Contact ID",
+      "type": "string"
+    },
+    "message": {
+      "description": "Error message if connection required",
+      "type": "string"
+    },
+    "name": {
+      "description": "Contact name",
+      "type": "string"
+    },
+    "phone": {
+      "description": "Contact phone number",
+      "type": "string"
+    },
+    "tags": {
+      "properties": {
+        "data": {
+          "items": {
+            "properties": {
+              "id": {
+                "type": "string"
+              },
+              "name": {
+                "type": "string"
+              }
+            },
+            "type": "object"
+          },
+          "type": "array"
+        }
+      },
+      "type": "object"
+    }
+  },
+  "type": "object"
+}
  2. Changed1 schema field changed
    • addedInput schema / examples
      Added value: +[
+  {
+    "id": "507f1f77bcf86cd799439011"
+  }
+]
  3. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already indicate readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds value by listing the specific data returned (including conversation history), which annotations do not cover. No contradictions.

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 sentence with a bullet-style list of return fields. It is front-loaded with the core purpose and all information is valuable and non-redundant.

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?

Given the simple one-parameter input, the presence of an output schema (which likely details return structure), and comprehensive annotations, the description sufficiently covers what the tool does and returns. No important gaps.

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% and the single parameter 'id' is described with a brief explanation ('Contact ID') in the schema. The description adds no further semantic detail about the parameter, so baseline score of 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 clearly states the tool gets full contact details by ID and lists specific return fields (name, email, phone, attributes, tags, conversation history). This distinguishes it from siblings like ic_search_contacts (search) and ic_get_conversation (conversation-specific).

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 versus alternatives such as ic_search_contacts or ic_list_companies. While the purpose is clear, the lack of explicit when-to-use or when-not-to-use advice reduces usability for an agent deciding between tools.

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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