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PAL service and pricing

pal_service_info

Free discovery tool. Lists PAL paid commerce tools, prices, Base-USDC payout details, direct API discovery URLs, and the free remediation demo.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, but it does disclose the most important trait: that this tool is free while the tools it lists are paid commerce tools, which frames cost before invocation. It is implicitly read-only since it only lists information. It does not state auth requirements, rate limits, or that it has no side effects, so the disclosure is partial.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single sentence that front-loads the key framing ("Free discovery tool") before the enumerated payload. Every clause earns its place by naming contents. It is dense list-of-nouns prose rather than structured, but there is no wasted text.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter tool with no output schema, the description compensates by enumerating what the response contains: paid tool list, prices, payout details, discovery URLs, and the demo reference. That is enough for an agent to know whether calling it will answer its question. Auth and cost behavior of the listing itself are the only unaddressed gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, and the schema correctly declares an empty object with additionalProperties false. With no parameters to document, the baseline of 4 applies; there is nothing the description could add on this dimension.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (lists) and enumerates the resources returned: PAL paid commerce tools, prices, Base-USDC payout details, discovery URLs, and the free remediation demo. An agent can tell this is an informational catalog tool, distinct from the action-oriented siblings like catalog_remediation or gtin_check. It stops short of naming a sibling it is not, so it does not quite reach 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

"Free discovery tool" implies this should be called before paid commerce tools to learn what exists and what it costs, which is real usage context. However there is no explicit when-to-use vs. when-not guidance and no named alternative among the ten siblings (e.g. free_remediation_sample or x402_validate). Usage is implied rather than stated.

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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