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owp_soc_analyze_slips

Read-only

Review supplied Slips JSONL alerts locally to identify cases and return a signed evidence bundle for audit or verification.

Instructions

Review supplied Slips JSONL locally and return cases plus a signed evidence bundle.

Accepts up to 128 KiB, 500 lines and 50 source windows. Uses a synthetic-trained model, a deterministic investigation stub and in-memory simulated actions. Does not control real hosts, push to AiSOC or upload telemetry. Returned keys and checkpoints are self-supplied evidence, not an independent trust anchor.

Input Schema

NameRequiredDescriptionDefault
tenantNolocal-review
alerts_jsonlYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.6.0

TDQS

A3.9/5.0
Behavior5/5

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

The annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, and the description goes well beyond them: hard limits (128 KiB, 500 lines, 50 source windows), a synthetic-trained model, a deterministic investigation stub, in-memory simulated actions, and the caveat that returned keys/checkpoints are self-supplied evidence rather than a trust anchor. This is exactly the behavioral context an agent needs before invoking.

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?

The first sentence front-loads the action and output, and the following sentences efficiently enumerate limits and scope exclusions. Dense but every clause carries information; only minor tightening is possible.

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

Completeness4/5

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

An output schema exists, so return-value detail is unnecessary, yet the description still characterizes the return as cases plus a signed evidence bundle. Combined with limits and honest caveats about trust, the definition is nearly complete; the undocumented 'tenant' parameter is the remaining gap.

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 0% for both parameters, so the description carries the burden. Its size/line/window limits do convey meaningful constraints on alerts_jsonl, but the 'tenant' parameter (default 'local-review') is entirely unaddressed in both schema and description.

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 names a specific verb and resource: review supplied Slips JSONL locally and return cases plus a signed evidence bundle. It is clearly distinguishable from siblings like owp_soc_sample_alerts and owp_soc_verify_bundle. It stops short of explicitly contrasting itself against those siblings.

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

Usage Guidelines3/5

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

It implies the use case (local review of supplied Slips JSONL) and states what it does not do: no real host control, no AiSOC push, no telemetry upload. However, it gives no explicit 'when to use this vs. verify_bundle / sample_alerts' guidance or prerequisite conditions, leaving routing largely to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.