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backlog_contradictions

Find active memories with conflicting state_keys. Identify contradictions where two beliefs about the same fact coexist, then resolve by updating or removing the stale memory.

Instructions

List contradictions in memory: sets of ≥2 LIVE memories that share one state_key (e.g. "db.primary"), which should never happen — a new memory with a state_key auto-expires the previous holder. Each set means two beliefs about the same fact are both active. Resolution is yours, never automatic: pick the correct member, then either backlog_remember({ content, state_key, supersedes: }) to record the right value and retire the rest, or backlog_forget({ ids: [] }) to expire the wrong ones. Read members with backlog_get for full context before deciding.

Input 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 the full burden. It explains the tool lists contradictions and that resolution is manual. It implies read-only behavior but does not explicitly state so or disclose other behavioral traits like rate limits or auth needs. Given the tool's simplicity, this is adequate.

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 concise, starting with the tool's purpose, then explaining the context, and finally providing resolution steps. Every sentence adds value 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?

Given no parameters, no output schema, and no annotations, the description is remarkably complete. It defines what the tool returns, explains the underlying concept, and links to related tools for resolution. It provides sufficient context for an agent to use it effectively.

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?

The input schema has zero parameters, and the description adds no parameter information (none needed). Following the baseline rule for 0 params, a score of 4 is appropriate.

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 the tool lists contradictions in memory, specifically sets of live memories sharing a state_key. It distinguishes from sibling tools by explaining the unique concept of state_key conflicts and why they should not occur.

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 tells when to use this tool (when there are memory contradictions) and suggests follow-up actions using sibling tools backlog_remember and backlog_forget. However, it does not explicitly state when not to use it or list alternatives for non-contradiction scenarios.

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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