Skip to main content
Glama

get_episode

Fetch the full stored text and metadata for a recall hit by providing its ID. Supports episode, memory, and summary entries.

Instructions

Fetch full stored text + metadata for one recall hit.

id is the string from a recall hit; its ep_/mem_/sum_ prefix selects the kind (episode → the USER/ASSISTANT exchange; memory → body + path; summary → a per-session digest written by reflect). ep_/mem_ ids are stable across re-ingests and rebuilds; sum_ ids are ephemeral (pair recall → get_episode within one session). Text capped at 8k chars with a truncation marker.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

With no annotations provided, the description fully discloses behavioral traits: id prefix determines kind, stability of ep_/mem_ ids versus ephemeral sum_ ids, and a text cap of 8k chars with a truncation marker. This covers the burden completely.

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 concise (~4 sentences), front-loaded with the purpose, and every sentence adds value. No redundancy or fluff.

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?

For a tool with one parameter and an existing output schema, the description covers all necessary context: purpose, id semantics, constraints (truncation). It is complete enough for an agent to correctly invoke the tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, but the description compensates fully by explaining the id parameter's format, prefix meanings (ep_, mem_, sum_), and their behavioral implications (stability, ephemeral nature). This adds essential meaning beyond the bare 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 explicitly states 'Fetch full stored text + metadata for one recall hit', clearly defining the verb and resource. It distinguishes from siblings recall (search) and remember (store) by focusing on retrieval of a specific hit's details.

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 explains when to use the tool (after a recall hit) and details the id prefix semantics, guiding correct parameter usage. However, it does not explicitly state when not to use it or mention alternatives to siblings.

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/sysangel/brain-mcp'

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