Skip to main content
Glama

sage_recall

Retrieve relevant past knowledge by semantic similarity search. Filter results by domain and confidence threshold to answer questions accurately.

Instructions

Search memories by semantic similarity. Use this to find relevant past knowledge before answering questions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainNoFilter by domain tag
min_confidenceNoMinimum confidence threshold 0-1
queryYesNatural language search query
top_kNoNumber of results to return
Behavior3/5

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

No annotations are provided, so the description carries full burden. It mentions 'semantic similarity' but doesn't disclose return format, read-only nature, or pagination. Minimal behavioral detail beyond the action.

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?

Two sentences with no wasted words. Front-loads the action and usage context efficiently.

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?

For a simple search tool with good schema coverage, the description is adequate but lacks return format details. No output schema, so slightly incomplete.

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% with descriptions for each parameter. The description adds context ('semantic similarity') but doesn't enhance meaning beyond schema. Baseline 3 is appropriate.

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 action ('search memories by semantic similarity') and the use case ('find relevant past knowledge before answering questions'). It distinguishes from siblings like sage_remember (store) and sage_forget (delete).

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 explicitly advises when to use ('before answering questions'), providing clear context. It doesn't mention when not to use or alternatives, but the purpose is well-defined.

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/l33tdawg/s-age'

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