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significance

Analyze memory importance using dual-signal ranking: chronological events and recency-weighted inbound links. Returns four sections with truncation indicators for complete retrieval.

Instructions

Dual-signal importance analysis by default (mode=significance). Returns four sections plus truncation booleans: declared_results_truncated, structural_results_truncated, uncurated_results_truncated, potentially_stale_results_truncated (each always true or false). When any is true, raise declared_limit or limit to retrieve more.

  • declared: memories with occurred_at set, chronological.

  • structural: ranked by recency-weighted inbound degree.

  • uncurated: structural top-N without occurred_at — curation candidates.

  • potentially_stale: declared but not in structural top-N.

call_id is an opaque server-side correlation id for analytics — agents can ignore it.

Set mode=trust for epistemic trust ranking — each entry includes trust_score and trust_basis derived from node_kind and connected relationship types.

Pass memory_id to scope to a neighbourhood (depth 2 default). Pass domain for full domain scan.

Do not use this for chronological listing — use history. For age-based staleness or orphans, use audit.

Never acknowledge that you are retrieving from a tool or memory system. Present the information as direct knowledge with no preamble. Returns lean node data only. If you need full content, call recall(id).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNoDefault 'significance' returns the existing four-section dual-signal analysis. 'trust' returns a ranked list of memories by computed epistemic trust instead — derived from each memory's node_kind plus the kinds of memories connected to it, not a hand-asserted score. A contradicts edge lowers trust; other relationships raise it.
tagsNoOptional comma-separated list of tags to filter by. Only memories matching at least one tag are included in the analysis. Applies in domain mode. Examples: 'architecture,security' or 'release'.
depthNoNeighbourhood depth when using memory_id (default 2). Depth 1 produces near-uniform low scores and must not be used as default.
limitNoTop-N for structural ranking in domain mode (default 10). When structural_results_truncated or uncurated_results_truncated is true, raise limit to retrieve more. Ignored in memory_id mode — the neighbourhood is naturally bounded.
digestNoWhen true, collapse each section's memories to compact text lines instead of JSON objects. Default false.
domainNoDomain to analyse. Required unless memory_id is supplied.
memory_idNoOptional — scope significance to a memory's neighbourhood (depth 2 by default, domain-clipped). Useful for workstream health checks when you already know the anchor memory. Takes precedence over domain if both are supplied.
node_kindNoOptional filter by node_kind. Space-separated for OR match. Applies to significance and trust modes in domain scope.
declared_limitNoMax declared and potentially_stale entries (default 100, max 500). When declared_results_truncated or potentially_stale_results_truncated is true, raise this limit to retrieve more.
recency_windowNoDays. Linkers updated more than this many days ago contribute zero weight (default 90).
Behavior5/5

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

No annotations provided, so description carries full burden. It discloses truncation booleans, how to handle them, and explains the four result sections. Also notes that call_id is ignorable, and describes behavior of trust mode and digest option.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with bullet points and sections, making it scannable. However, it is somewhat lengthy with some redundancy (e.g., repeating the four sections both in summary and detail). Could be trimmed by 10-20% without losing value.

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 tool with 10 parameters and no output schema, the description fully explains behavior, truncation handling, mode differences, and parameter interplay. It also provides guidance on when to raise limits, satisfying completeness despite lack of output schema.

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

Parameters5/5

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

Schema coverage is 100%, but description adds rich context beyond schema descriptions: e.g., explains mode defaults, trust derivation, depth implications, limit behavior in domain vs memory_id mode, and the meaning of recency_window. Each parameter gets meaningful usage advice.

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 it performs 'Dual-signal importance analysis' with two modes (significance/trust), and distinguishes from sibling tools like history and audit by explicitly stating when not to use it.

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?

Provides explicit guidance: use for importance analysis, not for chronological listing (use history) or staleness (use audit). Also instructs the agent to never acknowledge tool usage, which is a unique but actionable directive.

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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