x402 Finance

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

With no annotations, the description must carry the full burden. It discloses the cost ($0.01 USDC via x402) and availability (COMING SOON – not accepting payments yet), which are valuable behavioral traits. It does not explicitly state read-only nature or describe the return format, but the core constraints are present.

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 plus a brief cost statement, all front-loaded and purposeful. No unnecessary words; every element contributes to understanding the tool.

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 tool with one parameter, no output schema, and no annotations, the description provides the essential context: purpose, cost, and unavailability. The 'coming soon' status is critical for an agent to avoid invoking it. The lack of output details is acceptable given the tool is not yet active.

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% for the single parameter 'address', which already includes a description. The tool description adds no further semantics about the parameter beyond mentioning 'Base token', already captured in the 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 uses the specific verb 'Analyze' and clearly identifies the resource: 'holder concentration and coordinated wallet clusters for a Base token'. This distinguishes it from sibling tools like check_token_safety and get_market_data, which focus on safety and market data respectively.

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 implies usage: if you need to analyze holder concentration, use this tool. However, it does not explicitly state when to use it over alternatives, nor does it provide exclusions or prerequisites beyond the Base token context.

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?

No annotations are provided, so the description carries the full burden. It discloses the cost ($0.04 USDC) and live status, which is useful. However, it does not mention whether the operation has side effects, requires authentication, or what the response format is.

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 with no filler. The purpose is front-loaded, and the cost information is concise. 'LIVE.' is short but adds a status indicator without being verbose.

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 tool with a single parameter and no output schema, the description adequately covers purpose and cost, and hints at evaluation dimensions (honeypot, taxes, liquidity, ownership). It lacks explicit return format details, but the tool's simplicity makes it reasonably complete.

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 already provides 100% coverage with a clear pattern and description for the 'address' parameter. The description reinforces that it is for a Base token but does not add new semantic details beyond what the schema states.

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 a specific action ('Analyze') on a specific resource ('Base token') and enumerates concrete aspects (honeypot risk, taxes, liquidity, ownership). This distinguishes it from sibling tools like get_market_data and analyze_holder_clusters, which have different purposes.

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 purpose is clearly implied: use when you need to analyze a token's safety. The cost information provides practical context for decision-making. However, it does not explicitly mention alternatives or when-not-to-use, so it falls short of a 5.

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 mentions the cost ($0.002 USDC via x402) and the 'LIVE' nature of the data, which are useful behavioral traits. However, it does not describe the response format, possible errors, or any rate limits, leaving gaps.

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 and front-loaded with the core purpose. It consists of two sentences with no filler, efficiently conveying the action, the assets, and the cost.

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 simplicity (no parameters, no output schema), the description adequately covers the essential aspects: what it does, which assets, and the cost. However, it could be more complete by indicating the expected output shape or typical use cases, though these are not critical for a price-fetching 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?

The tool has zero parameters and the input schema is empty, so the baseline is 4. The description adds value by enumerating the specific assets covered, which clarifies the scope 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 a specific verb ('Get') and resource ('real-time USD prices') with an explicit list of covered assets. It does not explicitly distinguish from sibling tools, but those are named 'analyze_holder_clusters' and 'check_token_safety', which are clearly different in scope.

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 guidance is provided on when to use this tool versus alternatives, nor any exclusions or prerequisites. The description implies its use for fetching current prices, but offers no explicit context or comparison to sibling tools.

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