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Glama
SumitDalavi

cspm-noise-reduction-agent

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
DATABASE_URLNoOptional database connection URL for live services. If absent, in-memory/mock storage is used.
OPENAI_API_KEYNoOptional API key for LLM-generated summaries. If absent, deterministic mock summaries are used.

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
get_prioritized_findingsB

Analyzes raw CSPM findings, deduplicates them, and returns a prioritized list of actionable tickets.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.4/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of confusion or misselection. The single tool's purpose is clear and unambiguous.

Naming Consistency5/5

The tool name 'get_prioritized_findings' follows a clear verb_noun snake_case pattern. With only one tool, consistency is trivially satisfied.

Tool Count3/5

A single tool for an entire noise-reduction pipeline feels thin and borderline, even though the tool itself is complex. The server may benefit from auxiliary tools for configuration or follow-up actions.

Completeness3/5

The tool covers the core transformation (analyze, deduplicate, prioritize), but lacks lifecycle operations such as fetching raw findings or updating ticket status. This creates potential dead ends for an agent.

Maintenance

ActivityMaintained
ResponsivenessNo issues