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AI Agent Analytics

Get Daily Pulse

get_daily_pulse
Read-onlyIdempotent

Return the six core Daily Pulse metrics for product_id on one product-local day. Use this for headline daily status; use get_evidence to explain why metrics counted, get_report for multi-day analysis, or get_portfolio_pulse for organization-wide comparison. day is optional: omit it for the current product-local day, which may return a live partial pulse until finalized data is ready. Requires analytics:read; product_id is tenant-checked, missing evidence is never promoted, and the shared MCP limit is 300 calls per 60 seconds per caller before HTTP 429 with Retry-After.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dayNoProduct-local calendar day as YYYY-MM-DD. Omit to read the current product-local day, with live-pulse fallback when the finalized daily pulse is not ready.
product_idYesExact AI Agent Analytics product/property ID returned by list_products. Do not pass a product name, URL, or organization ID.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
pulseYes
schemaYesDelegated response schema identifier.
productYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed8 schema fields changed
    • changedOutput schema / properties / product / properties / id / description
      Previous value: -"Product/property ID."New value: +"Tenant-checked product/property ID."
    • changedOutput schema / properties / product / properties / time_zone / description
      Previous value: -"IANA time zone used for product-local daily interpretation."New value: +"IANA time zone used for product-local interpretation."
    • addedOutput schema / properties / pulse / additionalProperties
      Added value: +{}
    • removedOutput schema / properties / pulse / description
      Removed value: -"Daily Pulse payload containing the six core metrics plus evidence-integrity state."
    • addedOutput schema / properties / pulse / properties
      Added value: +{
      +  "biggest_opportunity": {
      +    "description": "Largest observed opportunity or next useful observation.",
      +    "type": "string"
      +  },
      +  "confidence": {
      +    "description": "Evidence confidence label.",
      +    "type": "string"
      +  },
      +  "day": {
      +    "description": "Product-local YYYY-MM-DD day represented by this pulse.",
      +    "type": [
      +      "string",
      +      "null"
      +    ]
      +  },
      +  "generated_at": {
      +    "description": "UTC timestamp when the pulse was generated.",
      +    "type": "string"
      +  },
      +  "integrity": {
      +    "additionalProperties": {},
      +    "description": "Evidence-quality and exclusion details.",
      +    "properties": {
      +      "note": {
      +        "type": "string"
      +      },
      +      "source_completeness_proven": {
      +        "type": "boolean"
      +      },
      +      "strict_external_settlements": {
      +        "maximum": 9007199254740991,
      +        "minimum": 0,
      +        "type": "integer"
      +      },
      +      "synthetic_events": {
      +        "maximum": 9007199254740991,
      +        "minimum": 0,
      +        "type": "integer"
      +      },
      +      "unclassified_settled_commerce": {
      +        "maximum": 9007199254740991,
      +        "minimum": 0,
      +        "type": "integer"
      +      },
      +      "unknown_external_events": {
      +        "maximum": 9007199254740991,
      +        "minimum": 0,
      +        "type": "integer"
      +      }
      +    },
      +    "type": "object"
      +  },
      +  "live_window_end": {
      +    "description": "End of the partial live window when state is live_partial.",
      +    "type": "string"
      +  },
      +  "live_window_start": {
      +    "description": "Start of the partial live window when state is live_partial.",
      +    "type": "string"
      +  },
      +  "metrics": {
      +    "anyOf": [
      +      {
      +        "additionalProperties": {},
      +        "properties": {
      +          "agent_revenue": {
      +            "additionalProperties": {
      +              "type": "string"
      +            },
      +            "description": "Settled minor-unit amounts keyed by an exact currency/asset/network identity; unlike money is never combined.",
      +            "propertyNames": {
      +              "type": "string"
      +            },
      +            "type": "object"
      +          },
      +          "conversion": {
      +            "additionalProperties": {},
      +            "properties": {
      +              "converted_agents": {
      +                "maximum": 9007199254740991,
      +                "minimum": 0,
      +                "type": "integer"
      +              },
      +              "intent_agents": {
      +                "maximum": 9007199254740991,
      +                "minimum": 0,
      +                "type": "integer"
      +              },
      +              "rate": {
      +                "anyOf": [
      +                  {
      +                    "maximum": 1,
      +                    "minimum": 0,
      +                    "type": "number"
      +                  },
      +                  {
      +                    "type": "null"
      +                  }
      +                ]
      +              }
      +            },
      +            "required": [
      +              "converted_agents",
      +              "intent_agents",
      +              "rate"
      +            ],
      +            "type": "object"
      +          },
      +          "paid_intent": {
      +            "description": "Countable-external actors with paid-intent evidence.",
      +            "maximum": 9007199254740991,
      +            "minimum": 0,
      +            "type": "integer"
      +          },
      +          "real_agents": {
      +            "description": "Countable-external pseudonymous actors.",
      +            "maximum": 9007199254740991,
      +            "minimum": 0,
      +            "type": "integer"
      +          },
      +          "repeat_agents": {
      +            "maximum": 9007199254740991,
      +            "minimum": 0,
      +            "type": "integer"
      +          },
      +          "successful_delivery": {
      +            "maximum": 9007199254740991,
      +            "minimum": 0,
      +            "type": "integer"
      +          }
      +        },
      +        "required": [
      +          "real_agents",
      +          "paid_intent",
      +          "conversion",
      +          "agent_revenue",
      +          "successful_delivery",
      +          "repeat_agents"
      +        ],
      +        "type": "object"
      +      },
      +      {
      +        "type": "null"
      +      }
      +    ]
      +  },
      +  "observed_funnel": {
      +    "anyOf": [
      +      {
      +        "additionalProperties": {},
      +        "description": "Observed event counts by canonical commerce-funnel stage.",
      +        "properties": {
      +          "discovery": {
      +            "maximum": 9007199254740991,
      +            "minimum": 0,
      +            "type": "integer"
      +          },
      +          "eligibility_accepted": {
      +            "maximum": 9007199254740991,
      +            "minimum": 0,
      +            "type": "integer"
      +          },
      +          "eligibility_rejected": {
      +            "maximum": 9007199254740991,
      +            "minimum": 0,
      +            "type": "integer"
      +          },
      +          "evaluation": {
      +            "maximum": 9007199254740991,
      +            "minimum": 0,
      +            "type": "integer"
      +          },
      +          "free_or_preflight_invocations": {
      +            "maximum": 9007199254740991,
      +            "minimum": 0,
      +            "type": "integer"
      +          },
      +          "paid_deliveries": {
      +            "maximum": 9007199254740991,
      +            "minimum": 0,
      +            "type": "integer"
      +          },
      +          "paid_operation_invocations": {
      +            "maximum": 9007199254740991,
      +            "minimum": 0,
      +            "type": "integer"
      +          },
      +          "payment_attempts": {
      +            "maximum": 9007199254740991,
      +            "minimum": 0,
      +            "type": "integer"
      +          },
      +          "payment_challenges": {
      +            "maximum": 9007199254740991,
      +            "minimum": 0,
      +            "type": "integer"
      +          },
      +          "settlements": {
      +            "maximum": 9007199254740991,
      +            "minimum": 0,
      +            "type": "integer"
      +          }
      +        },
      +        "required": [
      +          "discovery",
      +          "evaluation",
      +          "free_or_preflight_invocations",
      +          "paid_operation_invocations",
      +          "eligibility_accepted",
      +          "eligibility_rejected",
      +          "payment_challenges",
      +          "payment_attempts",
      +          "settlements",
      +          "paid_deliveries"
      +        ],
      +        "type": "object"
      +      },
      +      {
      +        "type": "null"
      +      }
      +    ]
      +  },
      +  "schema_version": {
      +    "description": "Daily Pulse schema version.",
      +    "type": "string"
      +  },
      +  "state": {
      +    "description": "Pulse state such as ready, live_partial, or unavailable.",
      +    "type": "string"
      +  },
      +  "strict_external_funnel": {
      +    "anyOf": [
      +      {
      +        "additionalProperties": {},
      +        "description": "Observed event counts by canonical commerce-funnel stage.",
      +        "properties": {
      +          "discovery": {
      +            "maximum": 9007199254740991,
      +            "minimum": 0,
      +            "type": "integer"
      +          },
      +          "eligibility_accepted": {
      +            "maximum": 9007199254740991,
      +            "minimum": 0,
      +            "type": "integer"
      +          },
      +          "eligibility_rejected": {
      +            "maximum": 9007199254740991,
      +            "minimum": 0,
      +            "type": "integer"
      +          },
      +          "evaluation": {
      +            "maximum": 9007199254740991,
      +            "minimum": 0,
      +            "type": "integer"
      +          },
      +          "free_or_preflight_invocations": {
      +            "maximum": 9007199254740991,
      +            "minimum": 0,
      +            "type": "integer"
      +          },
      +          "paid_deliveries": {
      +            "maximum": 9007199254740991,
      +            "minimum": 0,
      +            "type": "integer"
      +          },
      +          "paid_operation_invocations": {
      +            "maximum": 9007199254740991,
      +            "minimum": 0,
      +            "type": "integer"
      +          },
      +          "payment_attempts": {
      +            "maximum": 9007199254740991,
      +            "minimum": 0,
      +            "type": "integer"
      +          },
      +          "payment_challenges": {
      +            "maximum": 9007199254740991,
      +            "minimum": 0,
      +            "type": "integer"
      +          },
      +          "settlements": {
      +            "maximum": 9007199254740991,
      +            "minimum": 0,
      +            "type": "integer"
      +          }
      +        },
      +        "required": [
      +          "discovery",
      +          "evaluation",
      +          "free_or_preflight_invocations",
      +          "paid_operation_invocations",
      +          "eligibility_accepted",
      +          "eligibility_rejected",
      +          "payment_challenges",
      +          "payment_attempts",
      +          "settlements",
      +          "paid_deliveries"
      +        ],
      +        "type": "object"
      +      },
      +      {
      +        "type": "null"
      +      }
      +    ]
      +  },
      +  "time_zone": {
      +    "description": "IANA time zone used for the product-local day.",
      +    "type": "string"
      +  },
      +  "what_happened": {
      +    "description": "Evidence-grounded activity summary.",
      +    "type": "string"
      +  }
      +}
    • addedOutput schema / properties / pulse / required
      Added value: +[
      +  "schema_version",
      +  "day",
      +  "generated_at",
      +  "state",
      +  "time_zone"
      +]
    • addedOutput schema / properties / pulse / type
      Added value: +"object"
    • changedOutput schema / properties / schema / description
      Previous value: -"Response schema identifier."New value: +"Delegated response schema identifier."
  2. Changed3 schema fields changed
    • changedInput schema / properties / day / description
      Previous value: -"Optional YYYY-MM-DD day in the product's configured time zone."New value: +"Product-local calendar day as YYYY-MM-DD. Omit to read the current product-local day, with live-pulse fallback when the finalized daily pulse is not ready."
    • changedInput schema / properties / product_id / description
      Previous value: -"AI Agent Analytics product/property ID from list_products."New value: +"Exact AI Agent Analytics product/property ID returned by list_products. Do not pass a product name, URL, or organization ID."
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "$schema": "https://json-schema.org/draft/2020-12/schema",
      +  "additionalProperties": {},
      +  "properties": {
      +    "product": {
      +      "additionalProperties": {},
      +      "properties": {
      +        "id": {
      +          "description": "Product/property ID.",
      +          "type": "string"
      +        },
      +        "name": {
      +          "description": "Product name.",
      +          "type": "string"
      +        },
      +        "time_zone": {
      +          "description": "IANA time zone used for product-local daily interpretation.",
      +          "type": "string"
      +        }
      +      },
      +      "required": [
      +        "id",
      +        "name",
      +        "time_zone"
      +      ],
      +      "type": "object"
      +    },
      +    "pulse": {
      +      "description": "Daily Pulse payload containing the six core metrics plus evidence-integrity state."
      +    },
      +    "schema": {
      +      "description": "Response schema identifier.",
      +      "type": "string"
      +    }
      +  },
      +  "required": [
      +    "schema",
      +    "product",
      +    "pulse"
      +  ],
      +  "type": "object"
      +}
  3. First observed

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, but the description adds meaningful behavioral context beyond them: the 'live partial pulse' fallback, 'missing evidence is never promoted', tenant-checked product_id, required analytics:read permission, and the shared MCP rate limit of 300 calls per 60 seconds with HTTP 429 and Retry-After. This substantially exceeds the annotation baseline and contains no contradiction.

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 compact and every sentence earns its place: the first defines the tool's result, the second handles sibling routing, the third covers the optional parameter and freshness semantics, and the fourth bundles auth, constraints, and rate limits. It is front-loaded with the core purpose before caveats.

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?

The description covers the headline use case, alternatives, optional-day behavior, data-finality nuance, permissions, tenant scoping, and rate-limit failure mode. Since an output schema is present, return-value documentation is not required, and nothing needed for correct invocation is missing.

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 description coverage is 100%, so the baseline is 3. The schema already explains the product_id format and the day omission behavior with live-pulse fallback; the description only adds the phrase 'tenant-checked' as extra validation context. That is helpful but not enough to push above the baseline.

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 opens with a specific verb and resource: 'Return the six core Daily Pulse metrics for product_id on one product-local day.' It clearly scopes the tool to a single product-local day and distinguishes it from siblings by naming get_evidence, get_report, and get_portfolio_pulse, so an agent can identify its role unambiguously.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

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

It explicitly states when to use this tool ('for headline daily status') and names the alternatives with their distinct purposes: get_evidence for metric explanations, get_report for multi-day analysis, and get_portfolio_pulse for organization-wide comparison. This gives direct selection guidance without inference.

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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