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guide-registry

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

A4.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so no additional safety disclosure is needed. The description adds useful context such as 'live guide counts' and 'machine-readable data,' but it does not discuss response size, pagination, or other runtime behavior. The output schema presumably covers return structure.

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 a single sentence that front-loads the core action ('Get the bicycle.guide vocabulary') and then lists the taxonomy elements. The list is somewhat dense but every item provides useful information and nothing is filler or redundant.

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?

With zero parameters, an output schema available, and read-only annotations already in place, the description is sufficient for an agent to invoke the tool correctly. It clearly communicates the scope and the data categories returned, leaving little ambiguity.

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, so there are no parameter semantics to clarify. The description's enumeration of returned categories is useful but not parameter-related; with no parameters, the baseline of 4 is appropriate.

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 the specific verb 'Get' with the resource 'bicycle.guide vocabulary' and enumerates exactly what is included: domains, shelves with live guide counts, series, personas, guide_types, and classification conventions. This clearly distinguishes it from sibling tools that focus on guides or capabilities.

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?

The description establishes a clear use case: retrieve the taxonomy/vocabulary as machine-readable data rather than prose. It does not explicitly name alternatives or state when not to use it, but the resource is distinct enough from sibling tools that an agent can infer the right context.

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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