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Binalyze AIR MCP Server

Binalyze AIR MCP Server

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by binalyze
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

get_policy_by_id

Retrieve detailed policy information using its unique identifier to access specific digital forensics and incident response configurations.

Instructions

Get detailed information about a specific policy by its ID

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "id": "<id>"
    },
    "name": "get_policy_by_id"
  }
}

Input Schema

NameRequiredDescriptionDefault
idYesThe ID of the policy to retrieve

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
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 only states it retrieves information. It doesn't disclose behavioral traits such as whether it's a read-only operation (implied but not explicit), error handling for invalid IDs, authentication requirements, rate limits, or response format details.

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 that front-loads the core purpose without unnecessary words. Every part of the sentence contributes directly to understanding the tool's function.

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 with no annotations and no output schema, the description is incomplete. It doesn't explain what 'detailed information' includes, potential error cases, or return structure, leaving significant gaps for an AI agent to use it effectively in context with many sibling tools.

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 description adds minimal value beyond the input schema, which has 100% coverage and fully documents the single 'id' parameter. It implies the ID is used for retrieval but doesn't provide additional context like ID format or examples, so it meets the baseline for high schema coverage.

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 ('Get detailed information') and resource ('about a specific policy by its ID'), making the purpose unambiguous. However, it doesn't differentiate from sibling tools like 'get_policy_match_stats' or 'list_policies' beyond the ID specificity, which prevents a perfect 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. It doesn't mention sibling tools like 'list_policies' for browsing or 'get_policy_match_stats' for different data, nor does it specify prerequisites like needing a valid policy ID.

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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