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Binalyze AIR MCP Server

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compare_baseline

Compare multiple baseline acquisition tasks for a specific endpoint to analyze forensic data changes in Binalyze AIR.

Instructions

Compare baseline acquisition tasks for a specific endpoint

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endpointIdYesThe endpoint ID to compare baselines for
taskIdsYesArray of baseline task IDs to compare (minimum 2)
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'compare' but doesn't clarify if this is a read-only operation, what the output might look like (e.g., a report or summary), whether it has side effects, or any permissions/rate limits. For a tool with no annotation coverage, this leaves significant behavioral gaps, though it doesn't contradict any annotations.

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 description is a single, straightforward sentence that efficiently conveys the core purpose without fluff. It's front-loaded with the main action and target, making it easy to parse. However, it could be slightly more informative without sacrificing brevity, such as hinting at the output or comparison scope.

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?

Given the complexity implied by 'compare' and the lack of annotations and output schema, the description is incomplete. It doesn't explain what the comparison yields (e.g., differences, a report, status), how results are returned, or any prerequisites (e.g., tasks must be completed). For a tool that likely involves analysis of multiple tasks, this leaves too much undefined for reliable agent use.

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 100%, with clear descriptions for both parameters (endpointId and taskIds). The description adds no additional parameter semantics beyond what's in the schema—it doesn't explain format constraints, valid ranges, or relationships between parameters. Since the schema does the heavy lifting, the baseline score of 3 is appropriate, as the description doesn't compensate but doesn't detract either.

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

Purpose3/5

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

The description 'Compare baseline acquisition tasks for a specific endpoint' clearly states the action (compare) and target (baseline acquisition tasks), but it's somewhat vague about what 'compare' entails—does it produce a report, highlight differences, or something else? It distinguishes from obvious non-siblings like 'create_case' but doesn't explicitly differentiate from closer tools like 'get_comparison_report' or 'acquire_baseline', leaving room for ambiguity.

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 alternatives. With siblings like 'acquire_baseline' (likely for creating baselines) and 'get_comparison_report' (possibly for retrieving comparisons), there's clear potential for overlap, but the description offers no explicit when-to-use, when-not-to-use, or alternative recommendations, leaving the agent to guess based on tool names alone.

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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