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Binalyze AIR MCP Server

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by binalyze

update_policy

Modify an existing policy's storage locations, filter conditions, and compression settings to control evidence collection and management.

Instructions

Update an existing policy with specific storage and filter settings

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe ID of the policy to update
nameYesName for the policy
organizationIdsNoOrganization IDs to associate with policy. Defaults to [0].
filterNoFilter conditions to determine which endpoints the policy applies to
saveToYesConfiguration for where to save evidence
compressionYesCompression and encryption settings
sendToYesConfiguration for where to send evidence
cpuNoCPU usage limits
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 states 'update' implying mutation but doesn't mention required permissions, whether changes are reversible, rate limits, or what happens to unspecified fields. This is a significant gap for a mutation tool with complex parameters.

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's appropriately sized and front-loaded, directly stating the tool's purpose without unnecessary elaboration.

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 complex mutation tool with 8 parameters, no annotations, and no output schema, the description is inadequate. It doesn't explain behavioral aspects like side effects, error conditions, or return values, leaving significant gaps in understanding how to use the tool effectively.

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 8 parameters thoroughly. The description mentions 'storage and filter settings' which aligns with 'saveTo' and 'filter' parameters but doesn't add meaningful semantics beyond what the schema provides. Baseline 3 is appropriate when schema does the heavy lifting.

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 'update' and resource 'existing policy' with specific settings 'storage and filter', making the purpose unambiguous. However, it doesn't differentiate from sibling tools like 'update_organization_by_id' or 'update_case', which also update resources, so it misses full sibling distinction.

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. There are no explicit when/when-not statements or references to sibling tools like 'create_policy' or 'delete_policy_by_id', leaving usage context unclear.

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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