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Mipiti
by Mipiti

unreject_reconciliation_candidate

Remove a persisted rejection to make a reconciliation candidate eligible again for active review. Use when reversing a prior decision.

Instructions

Remove a persisted reconciliation rejection. Mutates state.

The pair becomes eligible to surface in the active candidate queue again on the next read of list_reconciliation_candidates. Use when the operator changes their mind about a prior rejection — the surrogate rejection_id comes from rejections[*].id on list_reconciliation_rejections (or the return value of reject_reconciliation_candidate).

Does NOT bump model version (rejection is org state, not model state).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
model_idYesID of the descendant threat model the rejection is on.
rejection_idYesSurrogate id of the persisted rejection.
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 available, the description carries the full burden. It discloses key behavioral traits: 'Mutates state', the timing (next read of list_reconciliation_candidates), and the non-effect on model version. It could further disclose error behavior or idempotency, but the core side effects are clearly communicated.

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 well-structured and efficient, starting with the main action, then consequences and usage, and ending with a caveat. No redundant sentences; all information earns its place.

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 tool's moderate complexity, the description covers purpose, when to use, parameter sourcing, and side effects. It also leverages the output schema so return values need no explanation. It could mention behavior for invalid rejection_id or repeated calls, but the overall context is solid.

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 67% with model_id and rejection_id described, but server_version lacks a description. The description adds value by explaining that rejection_id is a surrogate from rejections[*].id or the return value of reject_reconciliation_candidate, which is meaningful beyond the schema. It does not clarify server_version, leavingsome gap.

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 uses the specific verb 'Remove' with a clear resource: 'a persisted reconciliation rejection'. It distinguishes itself from siblings like reject_reconciliation_candidate and list_reconciliation_candidates by explaining the effect: making the pair eligible again for the candidate queue.

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 explicitly states when to use this tool: 'Use when the operator changes their mind about a prior rejection'. It also explains where the rejection_id comes from, providing a clear context and differentiating it from other reconciliation tools.

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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