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alankyshum

Graphiti-Memory MCP Server

by alankyshum

get_episodes

Retrieve recent episodes from a specified group in the Graphiti-Memory knowledge graph. Specify group ID and number of episodes to fetch for memory querying.

Instructions

Get recent episodes for a group

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
group_idNoGroup ID to retrieve episodes from
last_nNoNumber of recent episodes to retrieve (default: 10)
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions retrieving 'recent episodes' but doesn't specify ordering (e.g., chronological), pagination, rate limits, authentication needs, or error handling. For a read operation with zero annotation coverage, this leaves significant gaps in understanding how the tool behaves.

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 a single, efficient sentence with no wasted words. It's front-loaded with the core action ('Get recent episodes'), making it easy to scan. Every word earns its place, achieving optimal conciseness for this level of detail.

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

Completeness2/5

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

Given the tool's complexity (2 parameters, no output schema, no annotations), the description is incomplete. It doesn't explain what an 'episode' entails, the return format, or error cases. For a retrieval tool with no structured output documentation, more context is needed to guide effective use.

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%, with clear descriptions for both parameters (group_id and last_n). The description adds minimal value beyond the schema, as it doesn't explain parameter interactions (e.g., how 'recent' relates to last_n) or provide examples. Baseline 3 is appropriate since the schema does the heavy lifting.

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 clearly states the verb ('Get') and resource ('recent episodes for a group'), making the purpose understandable. It distinguishes from siblings like 'delete_episode' or 'search_memory_facts' by focusing on retrieval rather than modification or broader search. However, it lacks specificity about what 'recent' means or the exact scope of episodes.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing a valid group_id), exclusions, or comparisons to sibling tools like 'search_memory_nodes' for different types of data retrieval. Usage is implied but not explicitly stated.

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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