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List Harness Engineering Handbook Chapters

list_handbook
Read-onlyIdempotent

Get the Harness Engineering Handbook chapter map to browse the full corpus, from definition to bibliography. Use this to locate chapters; search for specific topics.

Instructions

List the Harness Engineering Handbook chapters (HRN-001…): the canonical long-form corpus on harness engineering — definition, history, taxonomy, principles, memory, observability, evaluation, governance, planning, orchestration, security, case studies, glossary and bibliography. Use this to see the chapter map; use search when you have a topic rather than a chapter.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
localeNoLanguage of the returned body. Default: en.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYes
resultsYes

Schema Changelog

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

  1. Changed1 schema field changedv0.4.1
    • addedOutput schema / properties / results / items / properties / resource_uri
      Added value: +{
      +  "description": "Read this card as an MCP Resource.",
      +  "type": "string"
      +}
  2. First observedv0.2.1

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds that this returns a 'chapter map' rather than full content and enumerates the chapter topics, which is useful behavioral context beyond the structured fields.

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 sentences, both purposeful. The first states the action and scope, the second gives usage routing. Every word earns its place, and the most decision-relevant instruction is front-loaded.

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

Completeness5/5

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

For a zero-required-parameter list tool with rich annotations and an output schema, the description fully covers what an agent needs: purpose, scope, and when to choose a different tool. No missing return-format information because the output schema exists.

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?

Schema description coverage is 100%: the only parameter, 'locale', is fully documented in the schema with an enum and default value. The description adds no extra parameter detail, so the baseline of 3 applies because the schema does the heavy lifting.

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?

The description opens with a specific verb and resource, 'List the Harness Engineering Handbook chapters (HRN-001…)', and clarifies the resource's scope as a canonical long-form corpus. It also names its sibling 'search' and explains the distinction, so an agent can tell list_handbook apart from related tools without inspecting schemas.

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

Usage Guidelines5/5

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

It gives explicit when-to-use ('Use this to see the chapter map') and when-not-to-use ('use `search` when you have a topic rather than a chapter'), naming the alternative tool directly. This leaves no ambiguity about selection.

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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