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Glama

List URBot bots

list_bots

List the URBot catalog of 150+ trained vertical AI expert bots with slug, name, tagline, category, and price tiers (most bots start at $1). Optionally filter by category (e.g. education, health, finance, legal, technology, outdoor, 3d-modeling, game-dev, 3d-printing, media). Use the returned slug with get_bot, chat_with_bot, or get_skill. URBot bots keep your data yours - each one is downloadable and runs locally.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
categoryNoOptional category filter, case-insensitive (e.g. "education")

Schema Changelog

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

  1. First observed

TDQS

A4.6/5.0
Behavior4/5

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

No annotations provided, so description carries burden. It discloses data privacy (downloadable, runs locally) and output fields. Missing pagination info but otherwise transparent about what the tool does.

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?

Three concise sentences: first states main action, second covers filtering, third provides usage advice and privacy note. No wasted words.

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 tool with no output schema, description comprehensively covers output fields, number of bots, filter option, and next-step guidance. Contextually complete for agent decision-making.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The only parameter 'category' has a minimal schema description, but the tool description adds concrete examples of category values and notes case-insensitivity, significantly enhancing its meaning.

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 clearly states the tool lists the URBot catalog of 150+ bots with specific fields (slug, name, tagline, category, price tiers). It distinguishes itself by implying it's for initial discovery before using get_bot, chat_with_bot, or get_skill.

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?

Provides clear context: use to list bots with optional category filter, then use returned slug with other tools. Does not explicitly differentiate from sibling search_bots, but gives enough guidance for typical use.

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

A4.5/5.0
Disambiguation5/5

Each tool has a distinct purpose: chatting, getting details, generating skill files, listing, and searching. No overlap in functionality.

Naming Consistency5/5

All tools use snake_case with a consistent verb_noun pattern (e.g., get_bot, list_bots, search_bots). chat_with_bot is a slight variation but still clear and predictable.

Tool Count5/5

5 tools is appropriate for a bot catalog server, covering discovery, detail retrieval, interaction, and skill export without being excessive.

Completeness5/5

Covers all key operations: discover (list/search), get details, chat, and export as skill. No critical gaps for the domain's typical use cases.

Resources