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memoryguard_context_bootstrap

Builds a bounded, read-only context packet for a new task, including active preferences and governed memories while omitting sensitive states and preserving the host conversation.

Instructions

Build one bounded, read-only long-term-memory context packet for a new task. Uses the trusted MCP identity/binding, includes active preferences plus task-relevant governed memories, omits sensitive/unsafe states, and never replaces or repeats the host's current conversation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskYescurrent task or request; required
max_charsNo
max_itemsNo
read_pathNoPhase5 canonical read path: auto uses canonical only when the group is canonically ready, otherwise the native compatibility read path; rule-intelligence prefers the rule-intelligence layer, deduplicating merged duplicates only after the active/audience/exclude matchauto
max_tokensNooptional total-token budget forwarded to the V2 ContextEngine
project_hintNooptional project/repository hint used only for relevance

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.7.8

TDQS

A3.7/5.0
Behavior4/5

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

No annotations are present, so the description carries the burden of behavior disclosure. It explicitly states read-only behavior, reliance on the trusted MCP identity/binding, inclusion/exclusion rules (active preferences, governed memories, sensitive/unsafe states omitted), and non-interference with the conversation. This is strong transparency, though details like error cases or behavior on missing bindings are not covered.

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?

A single dense sentence front-loads the main purpose and then enumerates key constraints efficiently. No redundant or filler content.

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 6-parameter tool with no annotations and no output schema, the description gives strong high-level context but omits the purpose of budget parameters and the shape of the returned packet. An agent could invoke it based on the required task parameter, but optional-parameter decisions would rely entirely on the schema, which is incomplete for two parameters.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds no parameter-level meaning; schema coverage is 67%, leaving max_chars and max_items without descriptions in either schema or tool text. The word 'bounded' only indirectly hints at the budget parameters and does not explain their meaning or relationships.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clear verb-resource pairing: 'Build one bounded, read-only long-term-memory context packet for a new task.' It is obviously not a raw memory read or write, but it does not explicitly contrast itself with sibling read/search tools, so the differentiation is implicit rather than explicit.

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?

States the trigger condition 'for a new task' and a non-goal ('never replaces or repeats the host's current conversation'), giving the agent a clear context for use. It does not name alternatives or explicitly say when not to use other memory tools.

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

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