Compliance Tools

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

With no annotations provided, the description takes on the full burden and does well by disclosing key behaviors: deterministic output, robots-aware scanning, no LLM usage, no legal verdicts, and even pricing ($0.05/call, x402 USDC). This goes beyond typical baseline expectations, though it does not mention authentication, rate limits, or detailed response handling, leaving some room for improvement.

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 extremely concise, packing the core purpose, key behavioral constraints, and pricing into two short sentences. It is front-loaded with the primary action and contains no filler or redundant information. Every sentence earns its place, making it highly efficient.

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?

The description covers the tool's purpose and critical constraints, but with no output schema and two sibling tools, it lacks certain completeness. It does not describe the shape or format of results (only parameter detailLevel hints at compact vs. evidence), nor does it explicitly relate this tool to its siblings. The pricing and determinism info help, but the missing result semantics and sibling differentiation leave the description moderately complete rather than fully comprehensive.

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 has 100% description coverage for all 6 parameters, so the schema already explains each parameter clearly. The tool description adds no additional parameter semantics beyond what the schema provides, earning the baseline score of 3. It does not repeat or overspecify parameter details, which is fine given the schema's sufficiency.

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 it is a 'BYOD compliance scanner for observed accessibility and privacy exposure signals on a submitted URL,' which is a specific action (scanning) on a specific resource (URLs) with a clear scope. It distinguishes itself from the sibling tool 'eu-ai-act-transparency-lead-scanner' by focusing on accessibility/privacy rather than AI Act transparency.

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 implicit usage context via traits like 'Deterministic, robots-aware, no LLMs, no legal verdicts,' suggesting when it is appropriate (objective scanning without AI or legal interpretation). However, it does not explicitly name alternatives or state when not to use this tool versus the sibling scanner, so guidance is implied rather than explicit.

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 full burden. It reveals key behaviors: deterministic, robots-aware, no LLMs, no legal verdicts, and cost per call. This goes beyond the schema, though it omits rate limits, authentication, and error handling.

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 sentences, front-loads the purpose, and packs key behavioral facts (deterministic, cost, no LLMs) without wasted words. Pricing is included efficiently.

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?

The description provides a clear overview of purpose and behavior, but lacks usage guidelines and output details. Since there is no output schema, the agent is left without a description of the return format or example response.

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 schema covers 100% of the parameters with descriptions, so the tool description adds little beyond what is already structured. The mention of 'submitted URL' aligns with the schema but does not enhance parameter understanding.

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 is a scanner for AI transparency signals on a submitted URL, using specific language like 'scanner' and 'submitted URL'. It also distinguishes itself from the sibling tool by highlighting determinism, robots-awareness, and the absence of legal verdicts.

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?

No explicit guidance on when to use this tool versus the sibling 'eu-accessibility-privacy-lead-scanner'. The phrase 'no legal verdicts' implies a limitation but does not state use cases or alternatives.

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 full burden of behavioral disclosure. It clearly states the tool is free and enumerates what it returns (prices, payTo addresses, network). It does not mention authentication, rate limits, or side effects, but for a simple read-only listing tool, the information is sufficiently transparent. The 'call first' hint also signals it is safe to use.

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 extremely concise: two sentences with no filler. It front-loads 'Free' to immediately communicate cost, then specifies the exact output and the recommended calling context. Every word serves a purpose, making it exemplary in structure.

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 tool's simple nature (no params, no output schema), the description is complete. It tells the agent what the tool does, what it returns (price, address, network), and when to call it. There are no significant gaps that would hinder correct invocation or interpretation.

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 is 4. The description adds no parameter-specific details because none are needed; the schema is empty. Since there are no inputs to clarify, the description fully covers the tool's interface requirements.

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 paid tool in the 'compliance-tools' bundle with price, payTo address, and network. It uses a specific verb (list) and defines the exact resource and scope, distinguishing it from the scanner sibling tools. The purpose is unambiguous and immediately informative.

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 instruction 'Call this first if you don't have a wallet ready yet' provides a clear usage context, indicating when this tool should be invoked before paid operations. It does not explicitly name alternatives or exclusions, but the directive to call first implies it is the preliminary step for pricing information. This is solid guidance though not exhaustive.

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