list_fraud_cases
List open fraud cases awaiting review to identify suspicious referral or affiliate activity and prioritize investigations.
Instructions
Open fraud cases awaiting review
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List open fraud cases awaiting review to identify suspicious referral or affiliate activity and prioritize investigations.
Open fraud cases awaiting review
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
v0.1.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
readOnlyHint=true already tells the agent this is a safe read. The description adds one genuinely useful behavioral fact: only open, unreviewed cases are returned, so resolved cases are excluded. It says nothing about ordering, pagination, limits, or result volume, which matters for an unbounded list.
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?
Five words with no filler and the scoping constraint front-loaded. It is efficient, though its brevity shades into under-specification rather than true economy.
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 parameterless read tool with no output schema, the description is close to sufficient but leaves open what a case record contains and whether the list is paged or capped. One more clause on the returned fields or result size would close the gap.
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 takes zero parameters, so there is nothing for the description to disambiguate; the baseline for a parameterless tool applies. Schema coverage is 100% trivially, and no parameter meaning is missing.
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 phrase 'Open fraud cases awaiting review' identifies the resource and adds a scope qualifier (open, awaiting review), but it is a bare noun fragment with no verb, so the 'list' action comes only from the tool name. It is understandable but vague about what a call actually does — return a collection, a count, or a queue view.
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?
There is no guidance on when to call this versus anything else, no prerequisites, and no note about what to do with the results. No sibling tool covers fraud cases, so there is no real alternative to point at, but the description still offers zero usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.