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Binalyze AIR MCP Server

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assign_log_retrieval_task

Assign log retrieval tasks to specific endpoints for digital forensics and incident response investigations using Binalyze AIR.

Instructions

Assign a log retrieval task to specific endpoints

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endpointIdsYesEndpoint ID(s) to retrieve logs from. Can be a single ID or an array of IDs.
organizationIdsYesOrganization ID(s) to filter endpoints by. This is REQUIRED to identify the correct endpoints. Examples: 0, "123", [0], ["123", "456"]
managedStatusNoFilter endpoints by managed status. Default is ["managed"].
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions 'assign' which implies a write/mutation operation, but doesn't describe what happens after assignment, whether this creates a background task, what permissions are required, or what the expected outcome is. The description is minimal and lacks important behavioral context.

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 extremely concise - a single sentence that directly states the tool's function. There's no wasted language or unnecessary elaboration. It's front-loaded with the core purpose and doesn't include any extraneous information.

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?

For a tool that appears to create/mutate something (assigning tasks), with no annotations and no output schema, the description is insufficient. It doesn't explain what a 'log retrieval task' entails, what gets returned, whether this is synchronous or asynchronous, or what the user should expect after invocation. The minimal description leaves too many questions unanswered.

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%, so the schema already documents all three parameters thoroughly. The description adds no additional parameter information beyond what's in the schema. The baseline of 3 is appropriate when the schema does the heavy lifting for parameter documentation.

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 clearly states the action ('assign') and resource ('log retrieval task to specific endpoints'), making the purpose understandable. It distinguishes from some siblings like 'assign_acquisition_task' or 'assign_triage_task' by specifying 'log retrieval', but doesn't explicitly differentiate from all assignment tools in the list.

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?

No guidance is provided on when to use this tool versus alternatives. The description doesn't mention prerequisites, timing considerations, or what happens after assignment. It simply states what the tool does without context about when it's appropriate.

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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