Blixtworks

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

With no annotations, the description carries the burden of behavioral disclosure. It uses the verb 'Explains' which implies a read-only operation, and the title notes it is free, but it does not explicitly state there are no side effects, nor does it mention any external calls or installs it might trigger (e.g., whether invoking it actually installs anything). The one-line install is described as content, not as a direct action.

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?

The description is a single, focused sentence that front-loads the primary purpose and lists the key topics covered. Every word contributes to the meaning, with no fluff or repetition.

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 help/documentation tool with a single optional parameter and no output schema, the description covers the essential scope: payment flow, wallet needs, and installation. It does not describe the return format, but that is not critical for a text-help tool. Minor gap: no explicit statement about how the tool behaves (e.g., returns text instructions), but it is sufficient.

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?

The input schema covers 100% of the parameter 'tool' with a clear description, so the baseline is 3. The description does not add any additional meaning beyond the schema, as it does not mention the parameter or provide examples of tool names.

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 clearly states the tool's purpose with a specific verb ('Explains') and a specific resource (paid Blixtworks tools), and it distinguishes itself from siblings by focusing on the payment flow, x402, wallet requirements, and installer. The title '(free)' further clarifies its nature.

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 description provides clear context for when to use the tool: when needing to call paid Blixtworks tools. It does not explicitly mention alternatives or exclusions, but the context is strong enough that it is obvious this is the go-to for payment-related 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?

With no annotations, the description carries the transparency burden. It discloses key behavioral traits: access is free, no wallet needed, and the scope of coverage. This is appropriate for a read-only listing tool, though it stops short of describing the exact response format.

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?

The description is two compact sentences. The first sentence front-loads the purpose and key cost fact; the second lists scope. Every word earns its place with no redundancy.

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 simple list tool with zero parameters and no output schema, the description adequately specifies what the tool returns (a list of tools with prices and input formats) and includes the free/no-wallet detail. It is complete enough for an agent to select and invoke the tool correctly.

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?

The tool has zero parameters, so the baseline of 4 applies. There is nothing for the description to add beyond what the schema already shows (an empty object).

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 clearly states the tool lists every tool Blixtworks sells, with prices and input formats. It enumerates specific categories (image categorization, OCR, etc.), making it distinct from siblings like how_to_pay or try_sample.

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?

It provides clear context for use: when you want an overview of available tools and pricing. It also notes that it is free and requires no wallet, implying it's a safe starting point. However, it does not explicitly compare to siblings or state when not to use it.

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?

With no annotations, the description carries the burden. It discloses that the tool is free, uses the real CLIP model (implying actual inference), and returns ranked labels. It doesn't mention potential resource usage or limits, but for a sample tool the disclosure is adequate.

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?

The description is a single, well-structured sentence that front-loads the key value proposition ('Free'). Every word adds meaning, with no redundancy or filler.

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?

Given the zero-parameter schema and absence of an output schema, the description sufficiently explains the tool's purpose and return value (ranked labels). It could be more detailed about the sample image or output format, but this is a simple sample tool and the sibling context (how_to_pay) reinforces its role.

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?

The input schema is empty, so the baseline is 4. The description adds no parameter details since there are none, but it mentions a 'sample image' as the implicit input, which provides some context beyond the empty schema.

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 clearly states the tool's function: it runs the real CLIP model on a sample image and returns ranked labels. It is distinguished from paying tools by explicitly saying it's free and for judging quality before paying.

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 phrase 'so you can judge output quality before paying for anything' implies this tool is a try-before-you-buy option, guiding the agent to use it before paid alternatives. It does not explicitly mention when not to use it or name how_to_pay as an alternative, but context is clear.

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