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Space-C0wboy

ReliaQuest GreyMatter MCP Server

by Space-C0wboy

watch_drp_alerts

Monitor DRP alerts by configuring watch filters for active alerts, asset types, and assignees to stay informed on digital risk threats.

Instructions

DRP Alerts · mutation watchDRPAlerts. Variables: input. Example variables: {"input":{"filter":{"active":true,"alertExternalIds":[""],"alertFingerprints":[""],"assetLabelIds":[""],"assetSerialIds":[""],"assetTypes":["ACCESS_KEY"],"assignees":{"assignees":[""],"includeUnassigned":true},"changed":"","classificationsAndRiskFactors":{"clas...

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYesGraphQL: DRPAlertBulkWatchInput!
customer_slugNoOverride the x-reliaquest-customer (OpCo) header.
Behavior1/5

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

With no annotations, the description carries the full burden of behavioral disclosure, but it only mentions that this is a mutation. It does not disclose side effects, permissions required, whether it creates subscriptions or notifications, or any impact on alert state.

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

Conciseness2/5

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

While short, the description is poorly structured and includes a large JSON snippet that is cut off mid-way. The opening 'DRP Alerts · mutation watchDRPAlerts' is uninformative, and the example takes up space without a clear explanation or complete context.

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

Completeness1/5

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

Given no annotations and no output schema, the description should explain the operation's purpose, behavior, and return value. None of this is present; it is only a raw GraphQL fragment with an example input. The description is far from complete for a bulk mutation tool.

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 schema provides only type-level descriptions (e.g., 'GraphQL: DRPAlertBulkWatchInput!'), but the description adds a concrete example variable showing nested filters like alertExternalIds, assetTypes, and assignees. This example gives meaningful structure beyond the schema, though it is truncated and not fully explained.

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

Purpose2/5

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

The description only restates the tool name and GraphQL mutation name ('watchDRPAlerts') without explaining what 'watching' an alert means or what the tool does. It is essentially a tautology, repeating the name and type rather than providing a clear purpose.

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

Usage Guidelines1/5

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

No guidance is provided about when to use this tool versus its alternatives like watch_drp_alert, un_watch_drp_alert, or un_watch_drp_alerts. There is no mention of use cases, prerequisites, or exclusions.

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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