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get_knowledge_area

Retrieve a SWEBOK v4.0 Knowledge Area by number or name to access its operational discipline, or list all 18 areas.

Instructions

Retrieve one of the 18 SWEBOK v4.0 Knowledge Areas (KA-01 Requirements through KA-18 Engineering Foundations) including its LLM operational discipline. Pass ka as a number 1-18 or a name (e.g. 'Software Security'). Omit ka to list all 18.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kaNoKnowledge Area number (1-18) or name substring.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv3.6.0

TDQS

A4.4/5.0
Behavior4/5

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

No annotations are provided, so the description carries the burden. It makes clear this is a non-mutating lookup by using 'Retrieve' and by describing the returned content, and it discloses the no-argument default (list all 18). It does not mention pagination, size, or error behavior on an out-of-range `ka`, which is a minor remaining gap for a read-only lookup.

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 tight sentences, front-loaded with what is retrieved and followed immediately by the input forms. Every clause earns its place; no filler or restatement of the tool name.

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?

For a single-parameter read tool with no output schema, the description covers what is returned, the valid input forms, and the default behavior. It could be slightly more complete by hinting at the shape of an individual KA entry, but there is no output schema to lean on and the core call semantics are fully specified.

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% and there is only one optional parameter, so the baseline is 3. The description goes beyond the schema by clarifying that `ka` accepts a range of numbers 1-18, a name substring, and that omission produces a full listing, and it supplies a concrete example ('Software Security').

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?

Specific verb ('Retrieve') plus a concrete resource (SWEBOK v4.0 Knowledge Areas, KA-01 through KA-18) with the exact content scope ('including its LLM operational discipline'). An agent can immediately distinguish this from the sibling retrieval tools (get_power_of_10, get_constitution, get_verification_gates), which map to different standards.

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?

Explicitly states the two invocation modes: pass a number 1-18 or a name substring to fetch one area, or omit `ka` to list all 18. This is clear conditional guidance. It stops short of naming alternative sibling tools when, e.g., the user wants a different artifact, so it is not a full 5.

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