Skip to main content
Glama

store_workflow_pattern

Store repeatable processes as durable memory patterns. Save sequential steps with triggers and tools to reuse workflows like startup continuity or debugging routines across sessions.

Instructions

Store a reusable workflow pattern as durable memory. Use this when you identify a repeatable process worth reusing across fresh windows, such as startup continuity, debugging routines, review flows, or handoff steps.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYesShort pattern title
triggerYesWhen this workflow should be used
stepsYesOrdered workflow steps
outcomeNoOptional expected outcome
toolsNoOptional tools, commands, or interfaces involved
importanceNoImportance score from 0 to 1
scopeYesRequired scope such as project:recallnest or session:abc123
sourceNoHow this pattern was capturedagent
tagsNoOptional tags
canonicalKeyNoOptional stable key for merge/update semantics
Behavior2/5

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

No annotations are provided, so the description carries full responsibility for behavioral disclosure. It only states 'durable memory' with no details on side effects, merging behavior, authorization, or error handling, leaving significant gaps.

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, each serving a distinct purpose: stating the action and providing usage context. No redundant or irrelevant information.

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 10 parameters (4 required) and no output schema, the description is minimal. It explains the purpose and usage intent but lacks details on storage behavior, expected outcomes, or error conditions, leaving room for ambiguity.

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%, so the baseline is 3. The description does not add additional parameter-specific guidance beyond the schema, but the schema itself is clear, so no deficit.

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 stores reusable workflow patterns as durable memory, with examples of use cases (startup continuity, debugging routines, etc.), distinguishing it from sibling tools like store_memory or store_skill.

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 provides explicit when-to-use guidance with concrete examples, but does not mention when not to use or list alternative tools, slightly limiting comprehensive usage instruction.

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/AliceLJY/recallnest'

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