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Infinite Audience

by io.github.no-fait
OverviewDiscussionsAdmin

Count Segment

count_segment
DestructiveIdempotent

Refresh the stored record_count of one saved segment, not its parent audience. Runs a fresh BigQuery count over the segment's own definition for any subtype (filter, matched, similarity, propensity), updates segment.record_count. Returns {segment_id, record_count}. For an unsaved population preview use discovery_count; for a composed audience snapshot use recount_audience. Requires 'discovery' scope.

Input Schema

NameRequiredDescriptionDefault
segment_idYesThe segment ID to recount

Output Schema

NameRequiredDescriptionDefault
guidanceNoInterpretation or recovery guidance for this result
count_unitNo
page_countNoNumber of objects on this page, not the organization total
segment_idYes
count_stateNoUnknown means no count; available does not guarantee freshness. Recount for a current value.
next_actionsNoSuggested next calls using returned IDs and available scopes. Not executed and not user consent.
record_countYesFresh segment count, or null when pending or failed
money_displayNoCurrency amounts formatted once from source paths ending in _cents. Use verbatim; do not divide again. Null/missing source amounts are omitted, not zero.
population_inputNoPopulation input used for the preview; IDs refer to their current saved definitions

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
+  "$schema": "http://json-schema.org/draft-07/schema#",
+  "additionalProperties": {},
+  "properties": {
+    "count_state": {
+      "description": "Unknown means no count; available does not guarantee freshness. Recount for a current value.",
+      "enum": [
+        "unknown",
+        "available"
+      ],
+      "type": "string"
+    },
+    "count_unit": {
+      "const": "records",
+      "type": "string"
+    },
+    "guidance": {
+      "description": "Interpretation or recovery guidance for this result",
+      "type": "string"
+    },
+    "money_display": {
+      "additionalProperties": {
+        "type": "string"
+      },
+      "description": "Currency amounts formatted once from source paths ending in _cents. Use verbatim; do not divide again. Null/missing source amounts are omitted, not zero.",
+      "propertyNames": {
+        "type": "string"
+      },
+      "type": "object"
+    },
+    "next_actions": {
+      "description": "Suggested next calls using returned IDs and available scopes. Not executed and not user consent.",
+      "items": {
+        "additionalProperties": false,
+        "properties": {
+          "arguments": {
+            "additionalProperties": {},
+            "propertyNames": {
+              "type": "string"
+            },
+            "type": "object"
+          },
+          "reason": {
+            "type": "string"
+          },
+          "tool": {
+            "type": "string"
+          }
+        },
+        "required": [
+          "tool",
+          "arguments",
+          "reason"
+        ],
+        "type": "object"
+      },
+      "type": "array"
+    },
+    "page_count": {
+      "description": "Number of objects on this page, not the organization total",
+      "maximum": 9007199254740991,
+      "minimum": -9007199254740991,
+      "type": "integer"
+    },
+    "population_input": {
+      "additionalProperties": {},
+      "description": "Population input used for the preview; IDs refer to their current saved definitions",
+      "propertyNames": {
+        "type": "string"
+      },
+      "type": "object"
+    },
+    "record_count": {
+      "anyOf": [
+        {
+          "type": "number"
+        },
+        {
+          "type": "null"
+        }
+      ],
+      "description": "Fresh segment count, or null when pending or failed"
+    },
+    "segment_id": {
+      "type": "string"
+    }
+  },
+  "required": [
+    "segment_id",
+    "record_count"
+  ],
+  "type": "object"
+}
  2. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already flag readOnlyHint=false, destructiveHint=true and idempotentHint=true; the description adds valuable context beyond them: it explains the mutation is an overwrite of segment.record_count via a fresh BigQuery count, and it declares the required 'discovery' scope. It does not mention query cost or rate limits for the BigQuery recount, which would matter for planning — hence 4 rather than 5. No contradiction with the annotations.

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?

Four tight sentences, front-loaded with what it does and what it does not touch, followed by mechanism, return shape, alternatives, and the scope prerequisite. Every clause earns its place.

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 a one-param tool with an output schema, an auth scope requirement, and many sibling tools, the description is complete: it covers mechanism, mutation target, return shape, subtype breadth, and alternatives. 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.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Single parameter with 100% schema description coverage, so the schema already carries the meaning. The description adds only that the count runs over 'the segment's own definition', which is scope context rather than a new param semantic. Baseline 3 is correct.

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: refreshing the stored record_count of one saved segment, explicitly NOT its parent audience. The subtype coverage (filter, matched, similarity, propensity) further pins the scope so an agent can distinguish it from recount_audience and discovery_count without opening schemas.

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?

Names both alternatives and the exact condition that selects each: discovery_count for unsaved population previews, recount_audience for composed audience snapshots. Use-vs-alternative routing is fully explicit.

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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