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campaignstack_apply_agent_memory

Idempotent

Apply a pending agent memory note now, instead of waiting for a second independent observation to confirm it. Once applied it is used in prompts exactly like an asserted note. Call this after the user reviews a note from campaignstack_list_agent_memories and confirms it is correct. A no-op on a note that is already active.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
memoryIdYesMemory id from campaignstack_list_agent_memories
workspaceIdNoWorkspace ID. REQUIRED for a user key (csu_), which spans every workspace you belong to; omitted for a workspace key (cs_), which is bound to one and ignores this argument. campaignstack_whoami reports which kind of key you are holding and, for a user key, the workspaces it can reach.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNo
statusNo
changedNo
successNo

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": true,
      +  "properties": {
      +    "changed": {
      +      "anyOf": [
      +        {
      +          "anyOf": [
      +            {
      +              "not": {}
      +            },
      +            {
      +              "type": "boolean"
      +            }
      +          ]
      +        },
      +        {
      +          "type": "null"
      +        }
      +      ]
      +    },
      +    "id": {
      +      "anyOf": [
      +        {
      +          "anyOf": [
      +            {
      +              "not": {}
      +            },
      +            {
      +              "type": "string"
      +            }
      +          ]
      +        },
      +        {
      +          "type": "null"
      +        }
      +      ]
      +    },
      +    "status": {
      +      "anyOf": [
      +        {
      +          "anyOf": [
      +            {
      +              "not": {}
      +            },
      +            {
      +              "type": "string"
      +            }
      +          ]
      +        },
      +        {
      +          "type": "null"
      +        }
      +      ]
      +    },
      +    "success": {
      +      "anyOf": [
      +        {
      +          "anyOf": [
      +            {
      +              "not": {}
      +            },
      +            {
      +              "type": "boolean"
      +            }
      +          ]
      +        },
      +        {
      +          "type": "null"
      +        }
      +      ]
      +    }
      +  },
      +  "type": "object"
      +}
  2. Added

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already communicate mutability, non-destructiveness, and idempotency. The description adds valuable context by explaining the state transition from pending to applied, the consequence for prompt construction, and the concrete no-op behavior on active notes. It does not contradict the annotations and provides meaningful behavior beyond their generic hints.

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 three sentences with no wasted words. It front-loads the primary action, then explains when to use it, and ends with the idempotency caveat. Every sentence adds distinct value.

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 what the tool does, when to call it, what effect it has, and how it behaves on already-active notes. The input schema fully documents both parameters, and an output schema exists, so return-value documentation is not required. The tool is simple enough that nothing essential is missing for correct invocation.

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 both parameters are already documented in the input schema. The description reinforces that memoryId comes from campaignstack_list_agent_memories, but it does not add new parameter-level detail beyond what the schema already states. This meets the baseline for full schema coverage without exceeding it.

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: 'Apply a pending agent memory note now.' It clearly distinguishes the action from the default behavior of waiting for a second independent observation, and it explains the outcome (the note is used in prompts like an asserted note). This makes the tool's purpose immediately identifiable and distinct from sibling memory tools.

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?

The description explicitly states when to call the tool: after the user reviews a note from campaignstack_list_agent_memories and confirms it is correct. It also frames the tool as an alternative to waiting for a second observation, and notes that applying an already-active note is a no-op. This gives the agent clear conditional guidance for invoking it.

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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