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--deprecated

by ai.infiniteaudience.mcp
OverviewDiscussionsAdmin
This connector has been deprecated

Replaced by io.github.no-fait/infinite-audience

Recount Audience

recount_audience
DestructiveIdempotent

Refresh the stored record_count of one saved audience from its current included/excluded segment composition. Call after adding or removing segments. For an unsaved population preview use discovery_count; for a segment snapshot use count_segment. Requires 'discovery' scope.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "audience_id": "<audience_id>"
    },
    "name": "recount_audience"
  }
}

Input Schema

NameRequiredDescriptionDefault
audience_idYesThe audience 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
audience_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 audience count, or null when unavailable
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": {
+    "audience_id": {
+      "type": "string"
+    },
+    "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"
+    },
+    "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 audience count, or null when unavailable"
+    }
+  },
+  "required": [
+    "audience_id",
+    "record_count"
+  ],
+  "type": "object"
+}
  2. First observed

TDQS

A4.3/5.0
Behavior4/5

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

The annotations already disclose destructiveHint=true and idempotentHint=true, but the description adds two things they do not: the 'discovery' scope requirement and the trigger condition that the stored count is stale after segment edits. It does not explain why the operation is flagged destructive, such as consumers of the stored count being affected, so it adds solid context but not a full behavioral picture.

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 short sentences, front-loaded with the action and followed by the trigger, the alternatives, and the prerequisite. Every sentence carries decision-relevant information with no filler.

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?

For a single-parameter mutation with an output schema and full annotation coverage, the description covers triggers, alternatives, scope, and side effect on the stored count. The missing piece is any relation to the refresh_audience sibling, which matters given how similar the names are.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3, but the description meaningfully narrows the parameter: the ID must belong to a saved audience, not a segment or an ad hoc population, which the schema's 'The audience ID to recount' does not make explicit. That constraint helps prevent mis-invocation.

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?

The description gives a specific verb and object: it refreshes the stored record_count of one saved audience, based on included/excluded segment composition. That is clearly distinct from discovery_count (unsaved preview) and count_segment (segment snapshot), which it names explicitly. The only gap is that it never addresses the sibling refresh_audience, which an agent could easily confuse with this tool.

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 states exactly when to call ('after adding or removing segments') and routes two nearby use cases to the correct alternatives by name. This is explicit when-to-use plus alternatives, so there is nothing left to infer.

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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