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Get the guide program's vocabulary

list_taxonomy
Read-only

Get the bicycle.guide vocabulary — domains, shelves (with live guide counts), series, personas, guide_types, and the classification conventions (pillar/spoke, discriminant home, bicycle-guide-serves-all) as machine-readable data rather than prose.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
seriesYes
domainsYes
shelvesYes
personasYes
api_versionYes
conventionsYes
guide_typesYes
counts_basisYes
unclassifiedYes
registry_metaYes

Schema Changelog

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

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the description does not need to restate safety. It adds minor behavioral context by mentioning 'live guide counts' and the machine-readable format, but it does not cover auth, rate limits, or other potential behavioral nuances. No contradiction with annotations.

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 that front-loads the resource ('bicycle.guide vocabulary') and then delivers a dense, useful list of included elements. There is no filler, repetition, or ambiguity; every phrase earns its place.

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 zero-parameter, read-only listing tool with an output schema, the description adequately covers the semantic content and format. It could be more complete by explicitly mentioning when to use it over sibling list tools, but that gap is more about usage guidance than contextual completeness.

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?

The tool has zero parameters and schema description coverage is 100%, so there are no parameter semantics for the description to clarify. The zero-parameter baseline of 4 applies; the description adds nothing about params because nothing is needed.

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 uses a specific verb ('Get') and names a precise resource: the 'bicycle.guide vocabulary'. It enumerates the exact contents (domains, shelves, series, personas, guide_types, classification conventions) and explicitly contrasts with 'prose', making the tool's scope unmistakable and distinct from sibling tools like list_guides or list_capabilities.

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 phrase 'as machine-readable data rather than prose' gives some context for when to use this tool, but it does not explicitly name alternatives or state when not to use it. With siblings like list_guides available, the routing decision is left mostly to inference.

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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