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Recall facts at a cell (auto-materializes on miss)

emem_recall
Read-onlyIdempotent

Retrieve citeable, signed facts for any geographic cell. On a miss, auto-materializes data from upstream sources for wired bands, returning freshly signed facts.

Instructions

Read the signed facts at a canonical address (cell64); auto-materializes on a miss for any band with a registered materializer. A fact_cid names one signed attestation, so a recalled fact is citeable and re-verifiable rather than a paraphrase: resolving it anywhere returns those exact bytes. It is NOT a fingerprint of the observation. The digest covers the responder's key and the moment it signed, so two responders that measure the same thing mint different fact_cids and a cid resolves only at the responder that signed it; use emem_entity for identity that crosses responders. Pass deterministic:true (or a provenance class list) to keep only facts recomputable from the cited raw source, with no model or human in the loop. In the memory algebra this is ensure(cell, bands), not get: state what must exist and the responder reuses or materializes.

When to use: Call after emem_locate (or with a known cell64). Returns every Primary fact stored at that (cell, band, tslot). IMPORTANT: if the cell has no fact yet for a requested band AND that band has has_materializer=true (per emem_coverage_matrix / emem_materializers), the responder fetches the upstream value, signs it under its identity, persists it, and returns it in the same response (slower on the first call while the upstream is fetched; fast once cached). So for any wired band you can recall ANY cell on Earth without seeding, just pass bands: [<band>]. The response carries materialize_notes listing what was just fetched. Empty result with no notes means the band has no materializer at this responder.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bandNooptional single band key — convenience alias for bands:[band]. Use when you want exactly one band (e.g. 'geotessera.2020', 'modis.ndvi_mean') and would otherwise have to wrap it in an array. Both `band` and `bands` are accepted; if both are given they are merged.
cellYescell64 string, e.g. 'damO.zb000.xUti.zde78'
bandsNooptional band keys to filter, e.g. ['indices.ndvi','geotessera']
scopeNoOptional multi-tenant scope {user_id, agent_id, run_id, org_id}. When at least one field is set, the recall is FILTERED to facts written under the same four-tuple (a recall scoped to {user_id:'u1'} sees only u1's facts, never another tenant's and never globally-written facts) AND the signed receipt binds the scope. Omit (or send {}) for the global, pre-v0.0.8 recall.
tslotNooptional time slot (band-tempo-relative integer offset from emem epoch)
includeNoOpt-in response expansion. include:['freshness'] attaches an advisory per-fact freshness block: a Q(Δt) staleness score from the band's physics decay kernel (the same one /v1/temporal_route ranks bands with), so an agent learns how stale each reading is in the call that returns it. Advisory only; it does NOT enter the receipt. include:['edges'] attaches each fact's typed temporal edges and threads their CIDs into the receipt. Absent leaves the response byte-identical to the pre-v0.0.9 recall.
provenanceNoTamper-provenance filter: return only facts whose band's provenance class is in this list. Applied BEFORE the receipt is signed, so the receipt covers exactly the returned facts; `bands_already_attested_at_cell` stays unfiltered so you still see what else exists at the cell.
as_of_tslotNoBi-temporal valid-time bound. Returns the latest fact per (cell,band) whose tslot ≤ as_of_tslot — answers `what did this place look like AS OF date X`. Conflicts with an explicit `tslot` when as_of_tslot < tslot (rejected with code:`invalid_temporal_bound`).
deterministicNoSugar over `provenance`: true keeps only facts any third party can recompute from the cited raw source (direct_sensor + deterministic_index); false keeps the rest (model_output + human_curated + unclassified). Composable with `provenance` (intersection).
as_of_signed_atNoBi-temporal transaction-time bound. RFC 3339 string. Returns only facts whose `signed_at` ≤ as_of_signed_at — answers `what did emem KNOW as of system-date Y`. Malformed strings are rejected with code:`invalid_signed_at_format`.
Behavior5/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, destructiveHint. Description adds significant behavioral details like auto-materialization on miss, fact_cid uniqueness, bi-temporal bounds, and deterministic filter, with no contradictions.

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?

Well-structured with clear sections and front-loaded purpose, but slightly verbose for an AI agent; every sentence is valuable but could be trimmed.

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?

Very complete given 10 params, no output schema, and annotations present; explains all behaviors, edge cases, and usage guidance.

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 100%, but description adds extra context for parameters (e.g., deterministic as sugar, as_of_tslot explanation, include expansions), going beyond what schema provides.

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 reads signed facts at a cell with auto-materialization, and distinguishes from siblings like emem_entity for identity crossing responders.

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?

Explicitly tells when to use (after emem_locate or with known cell64), mentions alternatives (emem_entity), and provides context on materialization and deterministic filter.

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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