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kayembahamid

CyberSim Pro MCP Server

by kayembahamid

replay_telemetry

Replay lab telemetry such as PCAP, EDR, or SIEM exports against an attack simulation to identify detection coverage gaps and strengthen defenses.

Instructions

Replay lab telemetry (PCAP/EDR/SIEM exports) against a simulation to identify coverage gaps

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
operatorNoOperator context required for restricted playback
telemetryNoArray of telemetry events (e.g., SIEM or EDR events)
scenario_idNoOptional scenario identifier to contextualise telemetry
simulation_idYesSimulation identifier returned by simulate_attack
approval_tokenNo
telemetry_base64NoBase64-encoded JSON array of telemetry events (alternative to telemetry array)
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does not explain side effects, permission requirements, whether replay mutates the simulation, or what output is produced. The word 'replay' hints at a non-destructive activity, but this is not explicit.

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?

The description is a single, well-structured sentence with no wasted words. It front-loads the action and data type while also conveying the purpose, making it appropriately concise.

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?

The tool has six parameters, nested objects, no output schema, and no annotations, so a one-sentence description is insufficient for operational context. It does not explain how the approval_token/operator fields are used or what the replay result looks like, leaving significant gaps for an agent invoking this tool.

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

Parameters3/5

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

Schema description coverage is high (83%), and the schema already describes telemetry, simulation_id, scenario_id, and telemetry_base64. The description adds no parameter-level meaning, but given the high schema coverage, the baseline of 3 is appropriate.

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 description uses a specific verb ('replay') and resource ('lab telemetry') and clearly states the goal ('identify coverage gaps'). It implies the tool operates on an existing simulation, which distinguishes it from creation/simulation tools, though it does not explicitly name a sibling alternative.

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 provides no guidance on when to use this tool versus siblings like simulate_attack or generate_validation_report, nor does it mention prerequisites or exclusions. The purpose implies a use case, but there is no actionable selection guidance.

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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