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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

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint. The description adds valuable behavioral context: tools are 'top-rated' and 'active', and results can be filtered by pricing. No contradictions.

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?

Single, well-structured sentence that front-loads the action and resource. Every word provides value, no fluff.

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 list tool with 4 parameters and no output schema, the description explains the filtering (category, role, pricing) and the nature of results (top-rated, active). Lacks clarification on sort order beyond 'top-rated', but overall adequate.

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 description coverage is 100%, so the baseline is 3. The description does not add significant meaning beyond what the schema already provides for each parameter.

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 verb 'List', the resource 'top-rated active AI tools', and the scope 'in a category or for a job role'. It distinguishes itself from sibling tools like 'search_tools' by focusing on top-rated and active filters.

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?

Provides example queries ('best AI tools for sales', 'free tools in <category>') that imply use cases, but does not explicitly state when not to use this tool or contrast it with alternatives like 'search_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

A4.4/5.0
Disambiguation5/5

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

Naming Consistency5/5

All tool names use a consistent verb_noun pattern in snake_case (e.g., check_tool_status, search_tools). Minor singular/plural variation is acceptable.

Tool Count5/5

With 6 tools covering search, browse, detail, comparison, and lifecycle checks, the count is well-scoped for an AI tool directory service.

Completeness5/5

The tool set covers the main user needs: discovery (search, list), details (get_tool), verification (check_tool_status), comparison (compare_tools), and alternatives (find_alternatives). No obvious gaps.

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