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MARS Anonymous Purchase Feedback

mars_purchase_feedback

FREE optional reason-coded feedback. No free text, IP, User-Agent, referrer, or raw journey id is stored.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskNo
stageNo
productNo
journeyIdNo
reasonCodeYes
retryIntentNo
paymentCapabilityNo
expectedMaxPriceMicrosNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / task
      Added value: +{
      +  "maxLength": 500,
      +  "type": "string"
      +}
  2. First observed

TDQS

C2.9/5.0
Behavior3/5

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

The description adds a useful privacy guarantee: no free text, IP, User-Agent, referrer, or raw journey id is stored. This partially compensates for the all-false annotations. But it doesn't disclose what feedback is stored, whether the call returns anything, or whether repeated calls are safe.

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?

Two short sentences lead with the tool's optional, reason-coded nature and put the privacy guarantee second. There is no filler or repetition, and the description is easy to scan.

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

Completeness2/5

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

For a tool with 8 parameters and no output schema, this description is too thin: it doesn't state the intended purchase-flow trigger, what the response means, or how the reason code relates to downstream behavior. The privacy note is helpful but does not make the tool safely callable.

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

Parameters2/5

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

With 0% schema description coverage, the description should explain key parameters, but it only hints that reasonCode is central and that task/journeyId are not retained. Fields like retryIntent, paymentCapability, and expectedMaxPriceMicros are left entirely to the schema, so the description adds minimal semantic value.

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?

The title and first sentence establish that this tool collects anonymous purchase feedback using a reason code, and 'FREE optional' adds useful framing. However, it lacks an explicit verb like 'submit' or 'record' and does not contrast with sibling feedback/attribution tools, so it is clear but not sharply differentiated.

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

Usage Guidelines2/5

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

The description only says the feedback is 'optional' and gives no condition for when to call it, such as after a declined offer or failed payment. No alternative tools are mentioned and no exclusions are given, so an agent would have to infer the trigger context from the name and schema.

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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