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by io.github.generaldataworks
OverviewDiscussionsAdmin

Save prompt

save_prompt

Add a prompt to a segment, or with prompt_id edit one. Changing an existing prompt's text replaces it, keeping the old prompt's answers in its history. Cost: an active prompt is plan capacity; new and replaced prompts get a first answer from every model, using model budget.

Input Schema

NameRequiredDescriptionDefault
tagsNo
textNo
brandYesBrand or study: its ID from list_brands, or its exact name. A partial name is refused.
marketNoA free-text label stored on the prompt. It does not change where the prompt is collected: the segment's geo does.
statusNo
personaNo
segmentNoThe segment (ID or name) for a new prompt.
categoryNo
languageNo
prompt_idNoEdit this prompt, from list_prompts. Leave out to add one.
intent_typeNo
funnel_stageNo
idempotency_keyYesA unique key for this intended action. Reuse it with identical arguments when retrying: the write is not made again, and the reply is the first call's resource as saved (replayed: true) with current status; read tools show the resource's current state. Use a new key for another action.

Output Schema

NameRequiredDescriptionDefault
dataYes
generated_atYesRFC 3339 time the response was made.
schema_versionYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / properties / data / properties / cost / properties / content_generations / description
      Previous value: -"Content Studio generations used from the plan's allowance."New value: +"Content Studio pages or outreach drafts used from the plan's allowance."
  2. Changed7 schema fields changed
    • changedInput schema / properties / brand / description
      Previous value: -"Brand or study: its ID from list_brands, or its name."New value: +"Brand or study: its ID from list_brands, or its exact name. A partial name is refused."
    • changedInput schema / properties / idempotency_key / description
      Previous value: -"A unique key for this intended action. Reuse it with identical arguments when retrying; use a new key for another action."New value: +"A unique key for this intended action. Reuse it with identical arguments when retrying: the write is not made again, and the reply is the first call's resource as saved (replayed: true) with current status; read tools show the resource's current state. Use a new key for another action."
    • addedInput schema / properties / market / description
      Added value: +"A free-text label stored on the prompt. It does not change where the prompt is collected: the segment's geo does."
    • changedOutput schema / properties / data / properties / brand / description
      Previous value: -"The brand written to; null for brand setup before approval."New value: +"The brand written to; null for start_brand_setup, which has no brand yet."
    • changedOutput schema / properties / data / properties / cost / properties / readiness_scans / description
      Previous value: -"Site readiness scans used from the plan's monthly allowance."New value: +"Full site readiness scans started; counted for the month, with no monthly allowance."
    • addedOutput schema / properties / data / properties / created_at
      Added value: +{
+  "description": "Set on a replay: when the original call was made.",
+  "type": "string"
+}
    • changedOutput schema / properties / data / properties / replayed / description
      Previous value: -"True when this repeats an earlier call with the same idempotency_key."New value: +"True when this repeats an earlier call with the same idempotency_key. The write is not made again: resource is as first saved, status, progress and message are current, and the read tools show the resource's current state."
  3. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
+  "additionalProperties": false,
+  "properties": {
+    "data": {
+      "additionalProperties": false,
+      "properties": {
+        "brand": {
+          "additionalProperties": false,
+          "description": "The brand written to; null for brand setup before approval.",
+          "properties": {
+            "id": {
+              "type": "string"
+            },
+            "name": {
+              "type": "string"
+            },
+            "url": {
+              "description": "The brand's website, or empty when none is set.",
+              "type": "string"
+            }
+          },
+          "required": [
+            "id",
+            "name",
+            "url"
+          ],
+          "type": [
+            "null",
+            "object"
+          ]
+        },
+        "cost": {
+          "additionalProperties": false,
+          "description": "What the write used from the plan's capacity, allowances and model budget; null when nothing.",
+          "properties": {
+            "content_generations": {
+              "description": "Content Studio generations used from the plan's allowance.",
+              "type": "integer"
+            },
+            "model_budget": {
+              "description": "Whether the call spends the organisation's AI model budget.",
+              "type": "boolean"
+            },
+            "note": {
+              "type": "string"
+            },
+            "prompt_capacity": {
+              "description": "Active prompts added against the plan's prompt limit.",
+              "type": "integer"
+            },
+            "queued_model_runs": {
+              "description": "Answer collections queued; each uses model budget.",
+              "type": "integer"
+            },
+            "readiness_checks": {
+              "description": "Readiness re-checks used from the plan's monthly allowance.",
+              "type": "integer"
+            },
+            "readiness_scans": {
+              "description": "Site readiness scans used from the plan's monthly allowance.",
+              "type": "integer"
+            }
+          },
+          "required": [
+            "model_budget",
+            "content_generations",
+            "readiness_scans",
+            "readiness_checks",
+            "prompt_capacity",
+            "queued_model_runs",
+            "note"
+          ],
+          "type": [
+            "null",
+            "object"
+          ]
+        },
+        "message": {
+          "description": "What happens next.",
+          "type": "string"
+        },
+        "operation_id": {
+          "description": "Pass to get_operation to follow the write.",
+          "type": "string"
+        },
+        "poll_after_seconds": {
+          "description": "While pending, how long to wait before calling get_operation; 0 otherwise.",
+          "type": "integer"
+        },
+        "progress": {
+          "additionalProperties": false,
+          "description": "Set while the work runs.",
+          "properties": {
+            "done": {
+              "type": "integer"
+            },
+            "message": {
+              "type": "string"
+            },
+            "stage": {
+              "type": "string"
+            },
+            "total": {
+              "description": "0 when the total is not known.",
+              "type": "integer"
+            }
+          },
+          "required": [
+            "stage",
+            "done",
+            "total",
+            "message"
+          ],
+          "type": [
+            "null",
+            "object"
+          ]
+        },
+        "replayed": {
+          "description": "True when this repeats an earlier call with the same idempotency_key.",
+          "type": "boolean"
+        },
+        "resource": {
+          "additionalProperties": false,
+          "properties": {
+            "id": {
+              "type": "string"
+            },
+            "replaces_prompt_id": {
+              "type": "string"
+            },
+            "segment": {
+              "additionalProperties": false,
+              "properties": {
+                "id": {
+                  "type": "string"
+                },
+                "name": {
+                  "type": "string"
+                }
+              },
+              "required": [
+                "id",
+                "name"
+              ],
+              "type": "object"
+            },
+            "status": {
+              "type": "string"
+            },
+            "tags": {
+              "items": {
+                "type": "string"
+              },
+              "type": "array"
+            },
+            "text": {
+              "type": "string"
+            }
+          },
+          "required": [
+            "id",
+            "text",
+            "status",
+            "segment",
+            "tags",
+            "replaces_prompt_id"
+          ],
+          "type": "object"
+        },
+        "status": {
+          "description": "completed: done. pending: saved, with work still running; call get_operation after poll_after_seconds. failed: the work after the write failed; message says why.",
+          "type": "string"
+        }
+      },
+      "required": [
+        "operation_id",
+        "status",
+        "replayed",
+        "brand",
+        "resource",
+        "progress",
+        "poll_after_seconds",
+        "message",
+        "cost"
+      ],
+      "type": "object"
+    },
+    "generated_at": {
+      "description": "RFC 3339 time the response was made.",
+      "type": "string"
+    },
+    "schema_version": {
+      "type": "string"
+    }
+  },
+  "required": [
+    "schema_version",
+    "generated_at",
+    "data"
+  ],
+  "type": "object"
+}
  4. Added

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint=false, destructiveHint=false), so the bar is lower. The description adds genuinely useful behavior beyond them: replacing text retains the old prompt's answers in history, and active prompts consume plan capacity while new/replaced prompts trigger a first answer from every model against model budget.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three tight sentences, front-loaded with the primary action and mode switch, then behavioral and cost consequences. Every sentence carries load; the cost sentence is dense but justified for a write operation with budget implications.

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?

An output schema exists so return values need no explanation, and the description covers the key decision inputs: mode selection, history retention on replacement, and cost. Minor gaps remain around the active/paused enum effect and the many free-text metadata fields, but nothing critical 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 only 38% across 13 parameters. The description clarifies the most consequential semantic (prompt_id toggles edit vs. create) and echoes segment scoping, but the remaining fields (text, tags, status, persona, category, language, intent_type, funnel_stage) get no added meaning, so it only partially compensates for the coverage gap.

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 ('Add a prompt to a segment') and immediately distinguishes the two operating modes: create when prompt_id is omitted, edit when it is supplied. An agent can tell exactly what the call does and which mode it is entering without opening the schema.

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

Usage Guidelines4/5

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

Gives clear routing between add and edit ('with prompt_id edit one') and supplies cost context that informs whether to call it. It does not name sibling alternatives (e.g. suggest_prompts for generating prompts, list_prompts for retrieval), so it falls short of explicit when-not guidance.

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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