Skip to main content
Glama

hibernate

Record your current work, learnings, and next steps at session end to retain context for future sessions.

Instructions

Save current session state for next awakening. Call at the END of every session to preserve what you were working on, what you learned, and next steps.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
learningsNoInsights or patterns discovered (comma-separated)
next_stepsNoWhat should happen next
working_onYesWhat was being worked on this session (required)
Behavior2/5

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

No annotations are provided, so the description must carry the burden of disclosing behavioral traits. It states the action and what data is saved, but does not explain side effects such as whether calling it multiple times overwrites previous state, or how it interacts with 'awaken.' For a state-saving tool, this lack of detail is a significant gap.

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, front-loaded with the core purpose, and every sentence contributes meaningful guidance. It is concise and well-structured, without wasted words.

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's simplicity and high schema coverage, the description covers the essentials: what to do and when. However, it lacks information about return values or what happens after saving, and the absence of annotations means the behavior is not fully disclosed. It is adequate but with clear gaps.

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 tool description adds some context by mapping parameters to session preservation (working_on, learnings, next_steps), but it does not provide syntax or examples beyond the schema. It adds marginal value.

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's function: 'Save current session state for next awakening.' It uses a specific verb (save) and resource (session state), distinguishing it from siblings like 'awaken' (which likely restores state) and 'remember' (which may deal with memories). It also specifies what is preserved: 'what you were working on, what you learned, and next steps.'

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 gives explicit timing: 'Call at the END of every session.' This provides clear usage context. However, it does not mention alternatives or exclusions (e.g., when not to use it), so it falls short of a 5.

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/KairosMobius/memory-nexus-mcp'

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