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Glama

AI Tool Directory

List tools by category or role

list_tools
Read-onlyIdempotent

List the top-rated active AI tools in a category or for a job role, optionally filtered by pricing. Good for "what are the best AI tools for sales" or "free tools in ".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
roleNoJob-role slug, e.g. "sales", "marketing", "customer-support".
limitNoMax results (1-20, default 8).
pricingNoOptional pricing filter: Free, Freemium, Free Trial, or Paid.
categoryNoCategory slug (from search_tools results), e.g. "productivity".

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnly, openWorld, idempotent, and non-destructive hints. Description adds 'top-rated active' and optional pricing filtering, which are useful behavioral nuances. 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?

Two sentences, front-loaded with key action, no fluff. Every word earns its place.

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?

Covers core functionality but lacks details on what 'top-rated' means (e.g., rating threshold, sorting order) and does not mention pagination or result format. Without output schema, description should provide more context on return value structure.

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

Parameters3/5

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

Schema covers 100% of parameters with descriptions. Description adds context for role and category via example queries, but does not add significant meaning beyond schema's parameter descriptions.

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?

Clearly states it lists top-rated active AI tools in a category or role, with optional pricing filter. Provides example queries that illustrate usage, but does not explicitly differentiate from sibling 'search_tools' which might offer broader search.

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?

Includes example queries like 'what are the best AI tools for sales' which imply when to use, but no explicit guidance on when not to use or comparison to siblings. Minimal context for alternative 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

A4.3/5.0
Disambiguation5/5

Each tool has a distinct purpose: checking status, comparing two tools, finding alternatives, getting a full profile, listing by category, and searching. No overlap.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case (check_tool_status, compare_tools, find_alternatives, etc.), making it predictable.

Tool Count5/5

6 tools are well-scoped for a directory server, covering discovery, lookup, comparison, and status checks without being too few or too many.

Completeness5/5

The tool set fully covers user needs: search, list, get details, compare, find alternatives, and check lifecycle status. No obvious gaps for the intended purpose.