ImgVX AI

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

Goes well beyond the annotations by disclosing the return shape (matching tools with what each does plus a link), the zero-cost/no-signup property, and critically that this tool performs no editing itself — the user must open the link in a browser. Annotations already cover read-only/idempotent safety, so this adds real context. It stops short of saying what happens when no tool matches.

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?

Three sentences, front-loaded with the core action, with the task enumeration and the "does not edit images" caveat placed after. The long example list is dense but each item maps to a real task the matcher accepts, so it earns its 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 takes on the burden of describing results and does so (matching tools, their purpose, an open link). It also preempts the most likely agent misuse — assuming this tool performs the edit. Nothing needed to invoke it correctly 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 coverage is 100% and the task param already includes example values, so the description adds little parameter-level meaning. The language parameter with its 40-value enum is documented in schema but never mentioned in the description, though the schema handles it adequately.

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 a specific verb ("Finds") and a specific resource ("free ImgVX AI browser tool") scoped to a described image task, and enumerates the task space (background removal, upscaling, compression, format conversion). This distinguishes it from list_image_tools, which by name enumerates rather than matches a described task.

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?

Establishes the triggering condition ("for an image task the user describes") and gives concrete example phrasings that map to the task parameter. It does not explicitly name list_image_tools or get_pricing as alternatives, but the usage boundary is clear enough to select correctly.

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, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds useful context beyond annotations by stating there is no sign-up, login, daily limit, or watermark, which clarifies access constraints and product terms.

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 tight sentence that front-loads the core answer ("nothing") and then adds supporting terms. Every clause earns its place.

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 zero-parameter pricing lookup with an obvious purpose, the description supplies the key business facts an agent needs. It does not specify the exact return shape, but given the tool's simplicity and lack of output schema, that is a minor gap.

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?

There are zero parameters, so there is no parameter semantics to explain. The baseline for a parameterless tool is 4, and the description does not need to compensate for missing schema documentation.

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 states a specific verb ("Returns") and a specific resource ("what ImgVX AI costs"), making the tool's purpose immediately clear. The sibling tools are unrelated image tools, so no further differentiation is needed.

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 implied by the purpose: call this when pricing information is needed. However, the description does not explicitly say when to use it or contrast it with alternatives, leaving the agent to infer the trigger condition.

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=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered by structured data. The description adds value beyond that by disclosing the return contents ('a short description and a link'), which matters because no output schema exists. It stops short of describing ordering, pagination, or result size — minor for an enumerate tool.

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 sentence that front-loads the core action and folds in the filter and return shape without any filler. Every clause earns its place and nothing is repeated from the title or schema.

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 zero-required-parameter read tool with no output schema, the description supplies the essentials: what is listed, the optional filter, and what each item contains. It is nearly complete; only result ordering or volume guidance is missing, which is a minor gap.

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 enum-constrained parameter is already documented with its allowed values. The description's 'optionally in one category' only restates optionality that the schema already conveys (not in required), adding no format or semantic detail beyond it. 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?

The description states a specific verb and resource ('Lists every ImgVX AI image tool') plus the optional category narrowing and the shape of each returned entry. It distinguishes itself implicitly from find_image_tool by emphasizing 'every', but it never names the sibling or explains how the two differ for an agent choosing between them.

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?

'Optionally in one category' hints that the tool is used as a browse/enumerate operation rather than a targeted lookup, which implies its role beside find_image_tool. However, there is no explicit when-to-use statement, no when-not-to-use, and no mention of the sibling that would cover the search case instead.

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