Skip to main content
Glama

memo_chat_ask

Read-onlyIdempotent

Answer conversational questions using prior chat history and context to shape retrieval and synthesis.

Instructions

Answer a conversational question with optional history and context.

Read-only. Use instead of memo_ask when prior turns or explicit context should shape retrieval and synthesis. history is a list of chat messages; session_id links the answer to a tracked memo session. With client sampling enabled, synthesis runs on the calling model (see synthesizer field).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kNo
typeNo
sourceNo
contextNo
historyNo
questionYes
session_idNo
snippet_charsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false. The description adds useful context about client sampling and synthesizer field, but is somewhat redundant on read-only. Still adds value beyond annotations.

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?

The description is concise and front-loaded with purpose. However, the mention of 'synthesizer' without schema definition may cause slight confusion, and the structure could be slightly improved for clarity.

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

Completeness4/5

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

Given the tool has 8 parameters and an output schema, the description covers the key distinguishing features and usage context. It does not need to detail return values due to output schema, but missing param descriptions reduce completeness.

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 0%, so description must compensate. It explains history, session_id, and context parameters, but does not cover k, type, source, snippet_chars. Partial coverage, adequate but not complete.

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 it answers conversational questions with history and context, and explicitly distinguishes itself from memo_ask by specifying when to use it.

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 says to use instead of memo_ask when prior turns or context should shape retrieval, and mentions client sampling. Provides clear when-to-use guidance.

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/jagoff/memo'

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