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PAL Commerce & Agent Revenue MCP

by io.github.enricoaboujaoude-droid
OverviewDiscussionsAdmin

Free AIEO catalog remediation sample

free_remediation_sample

Returns PAL's fixed intentionally-flawed sample catalog and the prioritized remediation plan it produces. This demo does not process caller data and requires no payment.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "free_remediation_sample"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations, the description carries the full behavioral burden and usefully discloses two safety-relevant traits: it does not process caller data and requires no payment. It stops short of stating determinism, rate limits, or whether the returned sample is stable across calls, but covers the concerns that would most affect invocation.

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

Conciseness5/5

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

Two sentences, zero filler. The return content is front-loaded and the demo caveats follow immediately.

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 demo tool with no output schema, the description names what is returned (the sample catalog and the prioritized remediation plan) and clarifies that no caller input is consumed. The only gap is that the shape of the remediation plan is left undefined, which is minor given no output schema exists to conflict with.

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?

Zero parameters, so there are no parameter semantics to explain and the baseline is 4. Nothing in the description misrepresents or conflicts with the empty schema.

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 ('Returns') and resource (a fixed, intentionally-flawed sample catalog plus the prioritized remediation plan it produces). The 'sample'/'demo' framing implicitly separates it from catalog_remediation and its batch/bulk siblings, though it does not name them explicitly.

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?

Usage is only implied: by stating it does not process caller data and requires no payment, the agent can infer this is for previewing the remediation plan without touching real data. There is no explicit when-to-use or when-not-to-use statement, and no sibling is named as an alternative.

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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