DAIly outfits

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.

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.

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.

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.

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.

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.

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

Annotations already declare readOnlyHint and openWorldHint, so the bar is lower, and the description still adds real context beyond them: the list is 'generic' and the app assembles it from the user's own closet at one outfit per day plus a plan. That warns an agent not to expect actual wardrobe items back. It does not say what happens when the destination forecast is unavailable or the city is ambiguous.

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

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

Two sentences, front-loaded with the core purpose, no filler. The parenthetical '(destination + number of days)' mildly duplicates required fields already visible in the schema, and the semicolon clause is slightly compressed, but nothing wastes space.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description must convey the return shape, and it only sketches it ('one outfit per day and plan') without structure or failure behavior for unknown destinations or missing forecasts. Adequate to call correctly, but not fully complete for an open-world, forecast-dependent tool.

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

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

Schema coverage is 100%, including the days range (1-30) and the lang enum, so the schema carries the semantics. The description only restates the two required inputs and adds the mild clarification that days maps to one outfit per day; it adds nothing about lang or destination formatting.

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

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

The description names a specific output (a capsule packing list) and the inputs that shape it (destination, number of days, destination forecast). The '(destination + number of days)' scope implicitly separates it from what_to_wear_today, but the sibling is never named, so the differentiation is left to inference.

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

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

Usage is only implied: the multi-day, trip-oriented framing suggests it is for travel rather than daily outfits, but there is no explicit when-to-use / when-not-to-use statement and no mention of what_to_wear_today as the alternative for today-only questions.

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

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

Annotations already establish readOnlyHint and openWorldHint, and the description adds real value beyond them: it names the external data source (Open-Meteo) and warns that output is generic rather than closet-aware, preventing the agent from over-claiming personalization. Failure behavior (unknown city, forecast unavailability) is still undisclosed.

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

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

Two short sentences with zero redundancy: the deliverable and data source come first, the generic-advice caveat second. Nothing could be removed without losing information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a two-parameter, read-only tool with a fully documented schema and no output schema, the description covers the essentials: what is returned, from what source, and its generic nature. Only edge-case behavior is missing.

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

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

Schema description coverage is 100%, including the lang enum, so the schema already documents both parameters fully. The description only reinforces the 'city' input and adds nothing about the language parameter or city-name formatting, so baseline 3 applies.

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

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

States precisely what the tool produces (clothing layers for today) and the basis for it (today's Open-Meteo forecast in a city). The 'today' framing implicitly separates it from travel_packing_list, but no sibling is named explicitly.

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

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

The caveat 'Generic advice; the app personalizes it with the user's own closet' hints at the tool's role, but there is no explicit when-to-use/when-not guidance or routing to travel_packing_list or get_product_info.

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