Skip to main content
Glama
moorcheh-ai
by moorcheh-ai

recall_changed_since

Retrieve memories created or updated after a specified timestamp. Use this to catch up on activity between sessions or find out what's new since a given date.

Instructions

Differential retrieval: return memories created or updated after the given timestamp. Use this for 'what's new since X?' or to catch up on activity between sessions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoOptional type filter.
limitNo
sinceYesLower-bound timestamp. Accepts YYYY-MM-DD (start of day) or full ISO 8601 e.g. 2025-11-01T00:00:00Z.
agent_idNoMemanto agent identifier the memory belongs to (required: no MEMANTO_DEFAULT_AGENT_ID is configured).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNosemantic | recent | as_of | changed_sincesemantic
countNo
queryNo
statusYes
messageNo
agent_idYes
memoriesNo
Behavior3/5

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

With no annotations, the description carries the full burden. It states it returns memories created or updated after the timestamp, but doesn't mention pagination, ordering, or agent filtering behavior. Some behavioral aspects are implied but not fully disclosed.

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 two sentences, front-loading the purpose and then providing usage guidance. Every word contributes value, with no redundancy or fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has 4 parameters and an output schema, the description is somewhat complete but lacks details on limit behavior, ordering, and required agent_id condition. It covers purpose and usage adequately but leaves gaps in operational details.

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 75%, so baseline is 3. The description adds context for the 'since' parameter but doesn't elaborate on 'type' or 'limit' beyond schema defaults. No new semantic value beyond the schema.

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 clearly states the tool performs differential retrieval of memories created or updated after a given timestamp, using specific verbs and resource. It explicitly distinguishes from siblings by using 'differential retrieval' and providing use cases like 'what's new since X?'.

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?

The description gives explicit usage guidance: 'Use this for "what's new since X?" or to catch up on activity between sessions.' This tells the agent when to apply the tool, though it doesn't explicitly mention when not to use it or name alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/moorcheh-ai/memanto'

If you have feedback or need assistance with the MCP directory API, please join our Discord server