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Mipiti
by Mipiti

list_assertions

Lists active assertions for a control or assumption, with origin flags distinguishing own from inherited through model composition.

Instructions

List active assertions for a control or assumption.

Provide exactly one of control_id or assumption_id.

Returns a flat list of assertions. Each assertion carries an origin field: "own" for assertions submitted directly against this model's control or assumption, "inherited" for assertions contributed through model composition (composed models whose assertions apply here). Inherited assertions are included in the listing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
model_idYesID of the threat model.
control_idNoID of the control (omit if using assumption_id).
assumption_idNoID of the assumption (omit if using control_id).
server_versionYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations provided, the description carries the full burden. It explains the origin field ('own' vs 'inherited') and notes that inherited assertions are included, adding useful behavioral context beyond the schema.

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 concise, well-structured, and front-loaded with the main purpose. Every sentence adds value, and there is no redundant or extraneous information.

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?

The description covers the essential logic (listing, mutual exclusivity, origin explanation). Given the existence of an output schema (not shown) and 75% schema coverage, it provides sufficient context for an agent to use the tool correctly.

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

Parameters4/5

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

Schema coverage is 75% (three of four params have descriptions). The description adds value by clarifying the mutual exclusivity of control_id and assumption_id and the meaning of the origin field, compensating for the lack of annotation.

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?

The description begins with a clear verb and resource: 'List active assertions for a control or assumption.' It precisely states the function and distinguishes itself from sibling tools like submit_assertions or delete_assertion.

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?

The description explicitly instructs to provide exactly one of control_id or assumption_id, which is a key usage guideline. While it doesn't compare extensively with all siblings, it gives clear context for when to use this tool.

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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