Skip to main content
Glama

memra_bootstrap

Load agent bootstrap context from Memra. Returns priority-ordered memories for agent session initialization.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_idNoAgent identifier, defaults to API key ID
namespaceYesTenant namespace
max_tokensNoToken budget for bootstrap payload
project_idNoProject ID (required if account has multiple projects)
recency_daysNoInclude context from last N days
exclude_typesNoExclude these memory types
include_typesNoOnly include these memory types

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
memoriesYes
revisionNo
token_estimateYes
health_warningsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It adds useful behavior details by stating the result is 'priority-ordered memories' and framing the operation as loading/returning context, but it does not disclose side effects, prerequisites, auth requirements, or rate limits.

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 short, purposeful sentences with no redundant wording. The main action and the behavioral outcome are both front-loaded and every clause earns its place.

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 output schema and full parameter descriptions, the description needs only to clarify when and why the tool is used, which it does. A small gap is the lack of explicit guidance on how this differs from sibling tools like memra_recall.

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 of 3 applies. The description does not add parameter-level meaning, but the schema already documents each parameter sufficiently.

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 names a specific verb ('Load'), a specific resource ('agent bootstrap context from Memra'), and a clear invocation purpose ('agent session initialization'). This sets it apart from sibling memory operations such as memra_history or memra_recall.

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 states when to use the tool: during agent session initialization. It does not name alternative tools or provide explicit exclusions, but the context is clear enough for an agent to select it appropriately.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.