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Sense2 Promotional Products

by io.github.24seagull-beep

get_100_best_intel

The Sense2 100 editorial intelligence layer — the six Sense2 Standard lenses (Desirability, Everyday relevance, Brandability, Perceived value, Retention potential, Story value), the Retention Test, 2026 market insights, How to Use guide by outcome (awareness, belonging, gratitude, modernity, culture, recognition), per-chapter editorial (what we look for + best branding move), and the Living Edit philosophy

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

C2.4/5.0
Behavior1/5

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

No annotations are present, and the description fails to disclose any behavioral traits such as read-only nature, authentication needs, or response size. It simply enumerates content without behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, long run-on sentence listing many items. It lacks structure and conciseness; important information is not front-loaded efficiently. It could be broken into bullet points or shorter sentences.

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?

Given no parameters and no output schema, the description does a fair job enumerating the content. However, it does not describe the format or structure of the returned data (e.g., JSON keys, nested objects), leaving some ambiguity.

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?

The tool has zero parameters, so the baseline is 4. The description adds meaning by detailing what the output contains, which is valuable given the absence of an output schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description lists multiple components (lenses, test, insights, guide, etc.) but does not explicitly state the action (e.g., 'Retrieves the editorial intelligence layer'). The verb is implied by the tool name. It distinguishes from siblings by specifying the content, but the purpose is somewhat buried in a verbose list.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives like get_100_best or get_brand. The description does not mention any prerequisites, conditions, or exclusions.

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

All Sense2 Promotional Products toolsInspect
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TDQS

A3.6/5.0
Disambiguation5/5

Each tool targets a distinct resource or action, from product and brand lookups to editorial collections and regional delivery info. Even similar listing tools (categories, industries, aesthetics, intents, inspirations, on-trend) are differentiated by their specific names and descriptions.

Naming Consistency4/5

The naming pattern is strongly consistent: lowercase with underscores, and almost all tools use the get_ prefix plus a resource name. The only deviation is search_products, which uses 'search' instead of 'get', but it still follows the verb_noun structure.

Tool Count3/5

With 21 tools, the server is on the heavy end of the typical range. The breadth is justified by the many distinct content types (products, brands, editorials, company info, reviews, regions, FAQ), but the count feels slightly bloated compared to leaner MCP servers.

Completeness4/5

The tool surface covers the full research and selection journey: product search, details, quotes, FAQ, company credibility, delivery areas, and inspirational content. The main gap is the lack of any transactional or order-placement tool, but that appears outside the intended scope.

Resources