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Mipiti
by Mipiti

edit_attacker

Update an existing attacker's attributes while keeping the likelihood score server-derived. Provide factor fields with a change reason to override LLM-generated ratings.

Instructions

Edit an existing attacker. Only provided fields changed.

The composed likelihood is server-derived from the factor fields; to change the rating, set factor values and supply change_reason for the audit trail.

LLM-gated on identity-bearing fields (capability, archetype, position). Factor and trust_boundary edits skip the gate.

503 on evaluator outage, 502 on malformed response, 400 when factor fields are sent without change_reason.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
model_idYesID of the threat model.
positionNoNew position (optional).
archetypeNoNew archetype (optional).
capabilityNoNew capability (optional).
attacker_idYesID of the attacker (e.g., "T1").
attack_vectorNo"Network" | "Adjacent" | "Local" | "Physical".
change_reasonNoRequired when any factor field is supplied — documents the operator override of LLM-generated factors.
server_versionYes
attest_positionNoOperator-attest the attacker's current position without changing it — e.g. to confirm a fully external attacker's empty crossed set so an objective blocked on an unpositioned attacker can be resolved. Pass ``true`` to attest.
user_interactionNo"None" | "Required".
attack_complexityNo"Low" | "High".
trust_boundary_idsNoComma-separated trust boundary IDs — the boundaries this attacker has crossed (its position). Replaces the existing set. Changing it operator-attests the position, which lets reachability trust it for a decisive verdict.
privileges_requiredNo"None" | "Low" | "High".
likelihood_rationaleNoNew rationale (optional).
capability_prevalenceNo"Commodity" | "Targeted" | "Rare".

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, the description carries full burden. It discloses that likelihood is server-derived, that factor edits require change_reason for audit trail, and that identity-bearing edits are LLM-gated. Error conditions are also specified. This is transparent and informative.

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 very concise, using only a few sentences to convey purpose, key constraints, and errors. It is well-structured with clear sections. Every sentence adds value, and no unnecessary information is present.

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?

Given the complexity (15 parameters, 3 required, output schema exists), the description covers essential aspects: main function, partial update behavior, likelihood derivation, gating, attestation purpose, and error conditions. It does not need to repeat output schema details. Minor gaps could include more detail on attest_position relationship with trust_boundary_ids, but overall complete.

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 description coverage is 93%, so baseline is 3. The description adds value beyond schema by explaining that likelihood is derived from factor fields and that change_reason is required when factor fields are provided. It also explains the purpose of attest_position. This extra context justifies a higher score.

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 clearly states 'Edit an existing attacker. Only provided fields changed.' This explicitly identifies the verb (edit) and resource (attacker), distinguishing it from sibling tools like add_attacker, remove_attacker, and restore_attacker.

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 provides context on when to use certain fields: mentions LLM-gating for identity-bearing fields (capability, archetype, position) and that factor and trust_boundary edits skip the gate. It also lists error conditions (503, 502, 400). However, it does not explicitly compare to alternatives or state when not 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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