Skip to main content
Glama

Dayze — Life Context

Classify Contact

classify_contact

Set entity_type (person/company/merchant/…) on a CRM row without losing transactions or links. ($0.10; API key required)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sourceNo
entity_idNo
person_idNo
confidenceNo
request_idNoClient idempotency key (retries return original result).
entity_typeYes
idempotency_keyNoAlias for request_id.
identity_statusNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
personNo
accountNoThe Dayze account this data belongs to. With more than one Dayze connection, name it in the answer.
messageNo
change_idNo
provenanceNoWhich connector wrote the record and which connected Dayze account received it.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedOutput schema / properties / account
      Added value: +{
      +  "additionalProperties": false,
      +  "description": "The Dayze account this data belongs to. With more than one Dayze connection, name it in the answer.",
      +  "properties": {
      +    "display_name": {
      +      "description": "Account display name.",
      +      "type": [
      +        "string",
      +        "null"
      +      ]
      +    },
      +    "handle": {
      +      "description": "Account handle, e.g. @goh.",
      +      "type": [
      +        "string",
      +        "null"
      +      ]
      +    },
      +    "note": {
      +      "description": "How to disclose the account to the user.",
      +      "type": "string"
      +    },
      +    "qa_fixture": {
      +      "description": "True for a known QA test account: its records are fixture data, not a real life.",
      +      "type": "boolean"
      +    }
      +  },
      +  "required": [
      +    "handle",
      +    "display_name",
      +    "qa_fixture",
      +    "note"
      +  ],
      +  "type": "object"
      +}
    • addedOutput schema / properties / provenance
      Added value: +{
      +  "additionalProperties": false,
      +  "description": "Which connector wrote the record and which connected Dayze account received it.",
      +  "properties": {
      +    "account": {
      +      "additionalProperties": false,
      +      "description": "The Dayze account this data belongs to. With more than one Dayze connection, name it in the answer.",
      +      "properties": {
      +        "display_name": {
      +          "description": "Account display name.",
      +          "type": [
      +            "string",
      +            "null"
      +          ]
      +        },
      +        "handle": {
      +          "description": "Account handle, e.g. @goh.",
      +          "type": [
      +            "string",
      +            "null"
      +          ]
      +        },
      +        "note": {
      +          "description": "How to disclose the account to the user.",
      +          "type": "string"
      +        },
      +        "qa_fixture": {
      +          "description": "True for a known QA test account: its records are fixture data, not a real life.",
      +          "type": "boolean"
      +        }
      +      },
      +      "required": [
      +        "handle",
      +        "display_name",
      +        "qa_fixture",
      +        "note"
      +      ],
      +      "type": "object"
      +    },
      +    "channel": {
      +      "description": "Always mcp_connector.",
      +      "type": "string"
      +    },
      +    "connector": {
      +      "additionalProperties": false,
      +      "properties": {
      +        "kind": {
      +          "description": "oauth or api_key.",
      +          "type": "string"
      +        },
      +        "name": {
      +          "description": "The connected app or API-key label shown to the account owner.",
      +          "type": "string"
      +        }
      +      },
      +      "required": [
      +        "kind",
      +        "name"
      +      ],
      +      "type": "object"
      +    },
      +    "source": {
      +      "description": "chatgpt for ChatGPT OAuth writes; mcp for another OAuth app or API key.",
      +      "type": "string"
      +    }
      +  },
      +  "required": [
      +    "source",
      +    "channel",
      +    "connector",
      +    "account"
      +  ],
      +  "type": "object"
      +}
  2. Added

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already declare destructiveHint=false, and the description reinforces this with 'without losing transactions or links', which is exactly the concern for a reclassification operation. It also discloses two facts absent from structured fields: a $0.10 cost and an API key requirement.

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 compact sentences, the operation and its safety guarantee front-loaded, with cost/auth as a trailing parenthetical. Nothing is padded.

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

Completeness3/5

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

An output schema exists so return values need no explanation, and annotations plus the cost/auth note cover much of the behavioral picture. The gap is identification: for a mutation on a CRM row, the description never explains how source/entity_id/person_id select the target, leaving a real ambiguity at call time.

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?

With 25% schema coverage, the description carries some burden and does add value by enumerating entity_type values that the schema leaves as a bare string. But it says nothing about the five other undocumented parameters (source, entity_id, person_id, confidence, identity_status) — notably which combination identifies the row to classify.

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?

States a specific verb (Set entity_type) and resource (a CRM row), and enumerates the target values person/company/merchant. It does not, however, distinguish itself from the adjacent sibling convert_contact_entity, which an agent could plausibly pick instead.

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?

There is no when-to-use guidance: nothing says when classification is appropriate versus convert_contact_entity, update_person_identity, or update_person. The implied context (a CRM row needing an entity type) is the only signal offered.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.