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get_framework_overview

Explore the 'Making AI Make Sense' framework by retrieving its essays and structure. Select a depth level to view an overview, detailed layout, or complete content.

Instructions

Get an overview of the "Making AI Make Sense" framework with its essays and structure.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
depthNoLevel of detail: overview (titles/descriptions), detailed (includes structure), full (includes all content)overview

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations provided, the description must carry the full behavioral burden. It states the operation is to 'get' an overview, implying a read-only action, but it does not explicitly confirm non-mutating behavior, nor does it describe the response format or any side effects. For a read tool this is acceptable but minimal.

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, efficient sentence that states the tool's purpose without any fluff. It is front-loaded with the key action and resource, and there is zero wasted wording.

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 simple read-only tool with one optional parameter and no output schema, the description is adequate but not exhaustive. It mentions the framework and its essays/structure, but does not elaborate on the exact nature of the response or how the depth parameter affects output. Given the schema covers the parameter, this is sufficient but leaves room for more detail.

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?

The single parameter 'depth' is fully documented in the schema with enum values and a description explaining each level. The description does not add any additional meaning or examples beyond the schema, so it meets the baseline for high schema coverage.

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 the tool returns an overview of the 'Making AI Make Sense' framework, including essays and structure. It uses a specific verb ('Get') and resource, and while it doesn't explicitly name sibling tools, the focus on framework-level overview distinguishes it from essay-level tools like list_essays and get_essay.

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 offers no guidance on when to use this tool versus alternatives. It does not mention alternatives or provide conditions for choosing it over list_essays, get_essay, or search_essays. The intended usage is only implied by the name.

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