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Mipiti
by Mipiti

get_remediation_leverage

Identify which controls to implement first to close the most objectives with the least work. Returns a ranked list and a greedy minimal fix plan.

Instructions

Remediation-leverage plan for a model: which controls to implement first to close the most control objectives with the least work.

Returns the model's not-yet-satisfied controls ranked by how many control objectives each one closes (ranked), plus a greedy minimal fix order — the sequence of controls that reaches the most mitigated objectives with the fewest controls (greedy_plan) — and a summary of the collapse (total objectives, currently mitigated, how many controls the plan needs). Use to prioritize implementation work: a single call tells the agent which controls give the highest leverage, so it can tackle the shortest path to coverage instead of fixing objectives one at a time. Read-only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
model_idYesID of the threat model.
server_versionYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Declares the tool as read-only and describes the output shape (ranked, greedy_plan, summary). No annotations provided, so description carries the burden; it does a good job but could mention prerequisites or data freshness.

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?

Three sentences with no wasted words. First sentence states purpose, second details output, third provides usage guidance. Well-structured and front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Covers main output structure and read-only nature. Missing details on server_version parameter and error handling, but overall sufficient for understanding the tool's function given its complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is only 50% (server_version lacks description). The description mentions 'for a model' but doesn't explain server_version or add constraints. Does not adequately compensate for the missing schema description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states it returns a remediation-leverage plan for a model, specifying the output structure (ranked controls, greedy plan, summary) and distinguishing from sibling tools like get_controls by focusing on prioritization.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says to use for prioritizing implementation work and implies it's a better approach than fixing objectives one at a time. Provides clear context but doesn't name alternative tools for just listing controls.

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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