service_catalog
Free: list the paid data services, their prices, the payment network and the receiving wallet.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Free: list the paid data services, their prices, the payment network and the receiving wallet.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It clearly states this is a read-only listing operation ('list') and specifies the output contents, which is good. However, it doesn't disclose any potential caveats like whether the list is exhaustive, whether prices are live or cached, or whether the payment network/wallet info is always present. For a simple read-only catalog tool, this is adequate but not rich.
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 sentence of 14 words that front-loads the key differentiator ('Free:') and packs in the resource and all three output attributes. Every word earns its place; there is no fluff or repetition of the tool name.
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, read-only listing tool with no output schema, the description is nearly complete. It tells the agent what the tool does and what it returns. The only minor gap is that it doesn't state whether the list is sorted, paginated, or complete, but for a simple catalog lookup this is not a critical omission. The sibling tools are all clearly different in scope, so an agent can route 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 schema provides no parameter documentation. The description compensates by clearly stating what the tool returns (paid data services, prices, payment network, receiving wallet), which is the only semantic information an agent needs. With 0 params, the baseline is 4, and the description meets that baseline by explaining the output scope.
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 ('list') and resource ('paid data services'), and specifies the exact information returned: prices, payment network, and receiving wallet. This clearly distinguishes it from sibling tools like contract_dd, pool_risk, token_report, and wallet_profile, which all sound like different analytical or reporting functions.
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 begins with 'Free:' which implies this tool is the no-cost option for accessing data service information, providing clear context for when to use it. It doesn't explicitly name alternatives or exclusions, but the 'Free:' prefix and the specific resource scope make the usage context clear enough for an agent to select it appropriately.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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