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Glama

The tags already in use

tags

List every label already used, ordered by frequency and normalized for case and accents, so assistants can reuse existing labels before adding new ones and avoid splitting concepts across duplicates.

Instructions

Every tag the person already writes, the most used first, with how many times each one appears, in the plain form they are filed under. Capitals and accents decide nothing: #Camión and #camion are one tag. Ask for it before you tag anything and reuse one when the subject really is the same; a second word for something already tagged splits it in two.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries the burden and does well: it discloses ordering (most used first), counts per tag, and normalization rules (capitals and accents are ignored). It does not explicitly state that the operation is read-only or describe pagination/limits, which keeps it from a 5.

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 front-loaded with the core behavior, followed by normalization rules and actionable usage advice. Every sentence contributes to understanding or correct use, and there is no redundant padding.

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 simple zero-parameter tool with no output schema, the description supplies the essential return shape: all tags, usage counts, ordering, and normalized form. It also gives enough usage context to prevent duplicate tag creation, making the definition complete for this tool's complexity.

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 the baseline is 4. The description does not need to explain parameter semantics and adds useful context about what the no-argument call returns.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the resource and scope: every existing tag, ordered by usage, with occurrence counts, in normalized plain form. It does not explicitly name or contrast against sibling tools such as lists or find, which keeps it just short of a 5.

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?

It gives explicit timing and reuse guidance: ask for it before tagging anything and reuse an existing tag when the subject really is the same. It does not name alternative tools or describe when another sibling would be preferable, so it falls short of a 5.

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