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Context Pack

memorix_context_pack

Builds a prompt-ready context pack for coding tasks by combining relevant memories, code graph facts, freshness warnings, and verification hints.

Instructions

Build a prompt-ready working context pack for a coding task. Combines relevant memories, CodeGraph Memory facts, freshness warnings, suggested reads, and verification hints. After a complete memorix_project_context brief, provide purpose only when deliberately expanding beyond it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskYesCurrent coding task or question
limitNoMax active memories to inspect before code-ref filtering (default: 20)
purposeNoWhy this must expand beyond the latest Autopilot brief. Name the missing fact or the user's explicit request.
Behavior3/5

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

No annotations are provided, so the description must fully disclose behavior. It mentions the output includes memories, facts, warnings, etc., but does not specify any side effects, permissions, or limitations. The behavioral transparency is adequate but not detailed.

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 a single sentence plus a brief instruction, very concise with no wasted words. It efficiently communicates the tool's purpose and key usage note.

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?

Despite having no output schema and no annotations, the description gives a good overview of what the tool does. However, it lacks details on the exact output format, pagination, or error handling, leaving some gaps for an agent to fully understand the tool's behavior.

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

Parameters4/5

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

Schema coverage is 100%, so each parameter has a description. The tool description adds meaningful context for the 'purpose' parameter by explaining when to provide it, which goes beyond the schema description. This enhances understanding.

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?

The description clearly states it builds a context pack for a coding task, combining several elements. It also differentiates from the sibling 'memorix_project_context' by specifying when to provide the 'purpose' parameter. However, it does not explicitly distinguish from all other siblings, leaving some ambiguity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies use for coding tasks and after a project context brief, but lacks explicit guidance on when not to use this tool or which alternatives to consider. Given the many sibling tools, more clarity would be beneficial.

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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