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DAIly outfits: qué es y cuánto cuesta

get_product_info
Read-only

What DAIly outfits is (AI outfit planner / digital closet app), who it's for, price (free), platforms and download link.

Input Schema

NameRequiredDescriptionDefault
langNoIdioma de la respuesta / response language (default es)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

The readOnlyHint annotation already establishes this is a safe non-mutating read, and the description is consistent with that, listing the kinds of facts returned. It adds modest context (the payload includes pricing, platforms, and a download link) but says nothing about whether results are static/cached or subject to change, which matters for a commercial-facts tool with openWorldHint=true.

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

Conciseness4/5

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

A single compact sentence with the key content front-loaded after the resource name. The parenthetical efficiently disambiguates what the product is. No filler, though the phrasing reads more like a content brief than an instruction set.

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 one-parameter, read-only informational tool with no output schema, enumerating the returned fields is close to sufficient. The main residual gap is the missing guidance on alternatives and on the language parameter's effect, but the core is covered.

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% and the single lang parameter's enum and default are fully documented in the schema, so the schema does the work. The description adds nothing about language behavior (e.g., whether the response is translated or just the wrapper), so baseline 3 applies rather than higher.

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?

The description names the resource (DAIly outfits) and enumerates exactly what the response covers: definition, audience, price, platforms, and download link. It is specific enough that an agent knows this returns static marketing/product facts rather than user data. It does not, however, say how it differs from siblings like what_to_wear_today, which an agent could easily confuse with an outfit-related query.

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?

There is no statement of when to call this versus the sibling tools, nor any exclusion such as 'use this only for questions about the app itself, not for generating outfits.' Usage is only implied by the topic. Nothing tells the agent that this is a static informational lookup rather than a personalization tool.

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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