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create_private_context_pack

Generate a focused context pack containing private and sensitive information for a specific AI task.

Instructions

Creates a highly focused context pack for a specific task. Includes private and sensitive information.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
targetNollm

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.1.3

TDQS

C2.4/5.0
Behavior2/5

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

With no annotations, the description carries full burden. It does mention that the tool 'includes private and sensitive information,' which is a useful behavioral warning. However, it omits other critical behaviors: side effects of creation, whether the pack persists, storage location, access controls, or if it can be retrieved later. The description hints at sensitivity but lacks depth.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short (two sentences) and front-loads the primary purpose. It avoids fluff, but at the cost of omitting necessary details (especially about parameters and usage). The brevity is appropriate for a simple purpose, but for a tool with undocumented parameters, it sacrifices too much information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a creation tool for a context pack with private/sensitive data, but there is no output schema or description of what it returns (e.g., an ID). The complement of siblings dealing with memory proposals, reviews, and searches suggests a larger workflow, but the description fails to surface prerequisites or follow-up steps. The tool is under-described for its role in the ecosystem.

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?

Schema coverage is 0%, and the description provides no explanation for the 'query' parameter beyond what its name implies, nor does it explain the 'target' parameter's possible values (e.g., 'llm'). This is a significant gap: the agent must guess what a 'query' should contain and what 'target' options exist. The description should enumerate valid targets or clarify the query format.

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

Purpose3/5

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

The description states the action and core purpose: 'Creates a highly focused context pack for a specific task.' It clearly distinguishes itself as focused on a specific task, but does not explicitly contrast with sibling tools like 'get_project_context' or 'company_context_compile', leaving some ambiguity about its unique role. A 3 is appropriate—adequate but not particularly specific about what makes it distinct.

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

Usage Guidelines2/5

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

The description gives no guidance on when to use this tool versus alternatives. It does not mention any prerequisites, limitations, or contexts (e.g., when a task is private vs. public, when to use company_context_compile instead). The absence of any usage guidance leaves the agent to infer, which is poor for correct selection.

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