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Glama

get_taxonomy

Get the full continent + region taxonomy.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. First observed

TDQS

A3.5/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states that the entire taxonomy is retrieved, but does not describe the output shape, whether the data is hierarchical, or whether this is a cached/static dataset. The read-only nature is implied by 'Get' but not explicitly disclosed.

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 short sentence that conveys the essential operation and scope with no filler. Every word earns its place and the key resource is front-loaded.

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 zero-parameter read-only lookup, the description is minimally sufficient: an agent knows what to call and that no arguments are required. However, because there is no output schema and no annotation, the description leaves the return structure and format of the taxonomy unspecified.

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 takes zero parameters and schema description coverage is 100%, so there are no parameter semantics for the description to clarify. Baseline for a zero-parameter tool is 4, and the description adequately signals that no inputs are 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 a specific resource ('full continent + region taxonomy'), clearly distinguishing it from the entity-, snapshot-, track-, and search-focused siblings. There is no ambiguity about what the tool returns.

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?

No guidance is given about when to use this tool versus the alternatives, nor are any exclusions provided. While the resource name implies its purpose, the description does not actively help an agent choose between this and sibling tools.

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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TDQS

A3.7/5.0
Disambiguation5/5

Each tool has a distinct role: get single entity, list entities, search entities, compare entities, get relations, get taxonomy, get tracks, get snapshot meta. Although list_entities and search_entities are related, their descriptions clearly separate filtering/ranking from keyword search.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern using clear verbs: get, list, search, compare. There are no mixed conventions or vague generic names.

Tool Count5/5

8 tools is well-scoped for a read-only knowledge/atlas server. Each tool covers a meaningful operation without redundancy or unnecessary bloat.

Completeness5/5

The set covers the full read-only lifecycle: discovery (list, search), detail (get_entity), analysis (compare, relations), and context (taxonomy, tracks, snapshot meta). No obvious gaps exist for the apparent purpose of exploring and comparing scored entities.

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