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Binalyze AIR MCP Server

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post_webhook

Send data to webhooks for automated incident response workflows in Binalyze AIR's digital forensics platform.

Instructions

Post data to a webhook

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesThe webhook slug (e.g., "air-generic-url-webhook")
dataYesThe data to be sent in the request body
tokenYesThe webhook token for authentication
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. 'Post data to a webhook' implies an HTTP POST request but doesn't specify expected behavior such as authentication requirements (though the token parameter hints at this), error handling, response formats, or rate limits. For a tool that likely involves external communication, this lack of detail is a significant gap.

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 zero waste—it directly states the action without fluff. It's appropriately sized for a simple tool and front-loaded with the core purpose. Every word earns its place, making it highly concise.

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 of a webhook tool (likely involving external HTTP calls), the description is incomplete. No annotations exist to cover safety or behavioral traits, and there's no output schema to explain return values. The description doesn't compensate by detailing success/error responses, making it inadequate for informed 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?

The input schema has 100% description coverage, with clear documentation for 'slug', 'data', and 'token'. The description adds no additional meaning beyond what the schema provides, such as examples of data formats or token usage. Since the schema does the heavy lifting, the baseline score of 3 is appropriate, but there's no extra value from the description.

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 'Post data to a webhook' clearly states the verb ('Post') and resource ('webhook'), making the basic purpose understandable. However, it lacks specificity about what kind of webhook (e.g., external service integration) and doesn't distinguish it from the sibling tool 'call_webhook', which suggests similar functionality. This vagueness prevents a higher score.

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 'call_webhook' or other data-sending methods. There's no mention of prerequisites, typical use cases, or exclusions. Without any context, users must infer usage from the tool name alone, which is insufficient.

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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