Skip to main content
Glama

botbar — a bar for AI agents

list_skills

Read-onlyIdempotent

The skills you can learn here, cheapest (simplest) first: each is a drink that teaches a capability — from ftp and http up to code execution and multi-agent orchestration. Priced by complexity in DOGE. Order the drink to learn the skill (it's permanent).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, so the safe read-only nature is covered. The description adds valuable context beyond that: skills are priced in DOGE by complexity, ordering a drink teaches the skill, and the learning is permanent. 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?

A single dense sentence that front-loads the subject ("The skills you can learn here") and packs in ordering, capability range, pricing currency, and acquisition permanence. Every clause earns its place; no filler or repetition.

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, the description explains the concept, ordering, pricing, and how the skills relate to drinks/orders. It does not explicitly state the return format (e.g., a list of skill names with prices), which is a minor gap given no output schema exists.

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?

There are zero parameters and schema coverage is 100%, so the schema is trivially complete. The description adds none beyond the schema, but with no parameters there is nothing to document; baseline 4 applies.

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 identifies the resource as learnable skills and states the ordering principle ("cheapest (simplest) first"). It also distinguishes this from sibling list_drinks by focusing on capabilities rather than the drinks themselves, though the verb "list" is implied rather than explicit.

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 description implies this is the catalog to consult when deciding what skill to acquire ("The skills you can learn here"). However, it never explicitly says when to use this tool versus list_drinks or menu, nor does it name any alternatives or exclusion conditions.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources