AgentPlaybooks

Read memory

read_memory

Read one memory entry by key and return its value, tags, tier, summary, and metadata. This is not a pure read: it increments access_count and updates last_accessed_at as a side effect, without changing the stored value. There is no update_memory; use write_memory to overwrite a key. Use search_memory to find keys, get_memory_context for a tiered summary, or get_memory_tree for hierarchical task graphs. Do not pass memory_type; that filter belongs to search_memory. Pass playbook_id as the UUID or GUID of the playbook this call should target.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`key`	Yes	Memory key to read
`playbook_id`	Yes	UUID or GUID of the target playbook

Output Schema

TableJSON Schema

Name	Required	Description	Default
`key`	No
`tags`	No
`tier`	No
`value`	No
`summary`	No
`priority`	No
`memory_at`	No
`parent_key`	No
`updated_at`	No
`description`	No
`is_archived`	No
`access_count`	No

Schema Changelog

Changes observed during successful MCP inspections.

Changed2 schema fields changedSep 11, 2026
- addedOutput schema / properties / is_archived
```
Added value: +{
+  "type": "boolean"
+}
```
- addedOutput schema / properties / memory_at
```
Added value: +{
+  "format": "date-time",
+  "type": "string"
+}
```

Changed1 schema field changedAug 20, 2026

changedOutput schema / (root)

Previous value: -nullNew value: +{
+  "properties": {
+    "access_count": {
+      "type": "number"
+    },
+    "description": {
+      "type": [
+        "string",
+        "null"
+      ]
+    },
+    "key": {
+      "type": "string"
+    },
+    "parent_key": {
+      "type": [
+        "string",
+        "null"
+      ]
+    },
+    "priority": {
+      "type": "number"
+    },
+    "summary": {
+      "type": [
+        "string",
+        "null"
+      ]
+    },
+    "tags": {
+      "items": {
+        "type": "string"
+      },
+      "type": "array"
+    },
+    "tier": {
+      "enum": [
+        "working",
+        "contextual",
+        "longterm"
+      ],
+      "type": "string"
+    },
+    "updated_at": {
+      "type": "string"
+    },
+    "value": {}
+  },
+  "type": "object"
+}

Changed1 schema field changedAug 2, 2026
- changedInput schema / properties / playbook_id / description
```
Previous value: -"UUID of the playbook"New value: +"UUID or GUID of the target playbook"
```
First observedAug 1, 2026

TDQS

A4.6/5.0

Behavior5/5

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

Annotations mark readOnlyHint=false, idempotentHint=false, destructiveHint=false — the description adds critical context that annotates why: reads increment access_count and update last_accessed_at as a side effect without changing stored value. This is exactly the value-add beyond annotations that earns a top score.

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?

Front-loaded with the read purpose, then behavioral caveat, then alternatives, then parameter guidance. Dense and every sentence carries information, though the multi-clause structure is slightly long for a 2-parameter tool.

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?

Complete for the tool's complexity: annotated side-effect behavior is explained, output schema exists (value/tags/tier/summary/metadata are named), sibling routing is exhaustive, and parameter constraints are clarified. Nothing an agent needs 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 coverage is 100% for both key and playbook_id. The description reinforces playbook_id format ('UUID or GUID') and adds exclusions (do not pass memory_type), but with full schema coverage the baseline is 3 even with no param info in description.

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+resource ('Read one memory entry by key and return its value, tags, tier, summary, and metadata') and explicitly differentiates from siblings search_memory, get_memory_context, get_memory_tree, and write_memory. An agent can pick it apart from siblings 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?

Explicitly routes: 'not a pure read' side effect disclosed, 'no update_memory; use write_memory to overwrite', 'Use search_memory to find keys', and 'Do not pass memory_type; that filter belongs to search_memory'. When-to-use and when-not-to-use are both stated clearly.

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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