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Mipiti
by Mipiti

list_attestations

Review an assumption's attestation history to diagnose why coverage is active, expired, or missing. Trace each attestation event with actor, timestamp, and status.

Instructions

List an assumption's attestation history. Read-only; no side effects.

Returns the chronological record of attestation events recorded against the assumption (each with its actor, timestamp, and status/expiry as recorded), so you can trace why the assumption is currently attested, expired, or never attested. An assumption only mitigates its control objectives while it is active AND currently attested, so use this to diagnose coverage that depends on an attestation.

To record a new attestation use submit_attestation; for the assumption's current fields (status, description) use get_entity (entity_type="assumption").

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
model_idYesID of the threat model.
assumption_idYesID of the assumption whose attestation history to list.
server_versionYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

With no annotations provided, the description carries full behavioral burden. It explicitly states 'Read-only; no side effects' and describes the returned data as a chronological record with actor, timestamp, and status/expiry as recorded, giving clear expectations without contradicting any annotations.

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 front-loaded with the core purpose, then adds a concise behavioral note, a usage rationale, and clear alternative pointers. Every sentence provides useful information without redundancy.

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

Completeness5/5

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

For a read-only list tool with no annotations and an output schema present, the description fully covers purpose, return contents, safety profile, and related tools. It is sufficiently complete for an agent to select and invoke it correctly.

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 67%, with server_version undocumented. The description adds contextual meaning around assumption_id via 'attestation history' but does not elaborate on parameter syntax or the role of server_version. Baseline 3 is appropriate since the schema covers most parameters.

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 opens with a specific verb and resource: 'List an assumption's attestation history.' It clearly distinguishes this from sibling tools like submit_attestation (record) and get_entity (current fields), and the purpose is immediately obvious.

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

Usage Guidelines5/5

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

The description explains when to use this tool ('trace why the assumption is currently attested, expired, or never attested') and explicitly points to alternatives: submit_attestation for recording and get_entity for current fields. It also ties usage to diagnosing attestation-dependent coverage.

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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