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Binalyze AIR MCP Server

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update_azure_storage_repository

Modify an existing Azure Storage repository's name, SAS URL, and organization associations in the Binalyze AIR MCP Server for digital forensics data management.

Instructions

Update an existing Azure Storage repository

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesID of the Azure Storage repository to update
nameYesUpdated name for the Azure Storage repository
SASUrlYesUpdated SAS URL for Azure Storage access
organizationIdsNoUpdated organization IDs to associate the repository with. Defaults to empty 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 mentions an update operation but fails to detail critical aspects like required permissions, whether changes are reversible, potential side effects, or response format. This is inadequate for a mutation tool without annotation support.

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, efficient sentence with no wasted words, making it easy to parse. It's front-loaded with the core action and resource, though it could benefit from more detail given the lack of annotations and output schema.

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 mutation tool with no annotations and no output schema, the description is insufficient. It doesn't cover behavioral traits, usage context, or result expectations, leaving significant gaps in understanding how to invoke and interpret the tool correctly.

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 input schema fully documents all parameters. The description adds no additional meaning beyond the schema, such as explaining parameter interactions or constraints. Baseline 3 is appropriate when the schema handles parameter documentation effectively.

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 ('Update') and resource ('existing Azure Storage repository'), making the purpose evident. However, it doesn't differentiate from sibling tools like 'update_amazon_s3_repository' or 'validate_azure_storage_repository', which would require specifying Azure Storage-specific aspects or contrasting with validation.

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, such as 'create_azure_storage_repository' for new repositories or 'validate_azure_storage_repository' for checks. The description lacks context on prerequisites, dependencies, or typical scenarios for updates.

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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