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binalyze

Binalyze AIR MCP Server

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by binalyze

list_cases

Retrieve and view all digital forensics and incident response cases in the Binalyze AIR system, optionally filtered by organization.

Instructions

List all cases in the system

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
organizationIdsNoOrganization IDs to filter cases by. Leave empty to use default (0).
Behavior2/5

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

With no annotations provided, the description carries full burden but offers minimal behavioral context. It doesn't disclose whether this is a read-only operation (implied by 'List'), what permissions are required, whether results are paginated, or what format the output takes. The description is too sparse to adequately inform an agent about how this tool behaves beyond its basic function.

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, direct sentence with zero wasted words. It's perfectly front-loaded with the core action and resource. Every word earns its place in conveying the essential purpose.

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 list operation with no annotations and no output schema, the description is insufficiently complete. It doesn't explain what information is returned about each case, whether there are limitations (like maximum results), or how to handle the output. Given the tool's role in a case management system with many sibling tools, more context about the listing behavior is needed.

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?

The schema has 100% description coverage for its single parameter, so the baseline is 3. The description adds no additional parameter information beyond what's already in the schema (which explains the organizationIds filter and default behavior). This meets minimum requirements but doesn't enhance understanding.

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 verb ('List') and resource ('all cases in the system'), making the purpose immediately understandable. It doesn't explicitly distinguish from sibling tools like 'get_case_by_id' or 'export_cases', but the scope ('all cases') is specific enough for basic differentiation.

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 like 'get_case_by_id' (for a single case) or 'export_cases' (for bulk export). It mentions filtering by organization IDs in the schema but doesn't explain when this filtering is appropriate or what 'default (0)' means in practice.

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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