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FutureSmart AI Demos

by com.aidemos

search

Search the published catalogue across use cases, rankings, tools, comparisons, and toolkits. Returns ranked light refs [{ kind, id, title, slug, url, snippet, score, meta }] — then call get_tool / get_ranking / get_use_case for full detail. mode: keyword (substring), semantic (meaning, via embeddings — finds pages by what they cover), or hybrid (default, fuses both). Optional filters: type[], persona, category.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNoSearch mode.
typeNoRestrict to these kinds (default: all).
limitNoMax results (default 20).
queryYesFree-text search query.
personaNoRestrict to items tagged with this persona slug.
categoryNoRestrict to this category (case-insensitive).

TDQS

A4.7/5.0
Behavior4/5

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

No annotations provided, so description carries full burden. Describes return format (ranked light refs with fields) and mode behaviors (substring vs meaning vs hybrid). Does not mention state mutation, auth, or rate limits, but as a search tool these are not critical. Missing pagination details beyond limit.

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 purpose and result structure. Efficiently covers all key aspects without wasted words.

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?

Covers purpose, result format, mode behavior, and filter options. With no output schema, describing return structure is critical and done well. Missing offset/pagination details but limit is specified. Adequate for a search tool with clear sibling tools for detail retrieval.

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?

Schema has 100% coverage, but description adds value: explains what each mode does in plain language (e.g., semantic uses embeddings), defaults (limit 20), and that type filters restrict to kinds. Enhances understanding beyond schema.

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?

Clearly states it searches a published catalogue across categories (use cases, rankings, etc.) and returns ranked light refs. Distinguishes from siblings by noting subsequent calls to get_tool, get_ranking, etc. for full detail.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly tells when to use (search catalogue) and what to do after (call specific get_* tools). Explains three search modes (keyword, semantic, hybrid) and optional filters (type, persona, category), guiding appropriate usage.

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

A3.8/5.0
Disambiguation5/5

Every tool targets a distinct entity or action: list tools enumerate different content types, get tools retrieve specific entities, search finds across the catalogue, compare_tools does head-to-head comparison, and the two cross-reference tools (rankings_for_tool and tools_in_ranking) are inverse operations. No two tools have overlapping purposes.

Naming Consistency4/5

Most tools follow a consistent verb_noun pattern (list_*, get_*, compare_tools, search), but 'rankings_for_tool' and 'tools_in_ranking' deviate with a noun_prep_noun pattern. These two are internally consistent with each other and remain readable, so the overall convention is only slightly disrupted.

Tool Count4/5

16 tools is slightly above the ideal 3-15 range but still well-scoped for a catalogue covering seven entity types, search, comparison, and cross-references. Each tool has a distinct role and none are redundant, so the count feels justified rather than bloated.

Completeness4/5

The tool surface covers all major content types with list and get (except categories and toolkits, which only have list endpoints), plus search, comparison, and inverse cross-references. Minor gaps like missing get_toolkit or get_category are workaround-able since list_toolkits and list_categories expose sufficient metadata.

Resources