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retrieve_entities

Fetch entities from Neotoma with filters for type, search, dates, and publication status. Supports efficient cursor pagination for large result sets.

Instructions

Use this when you need filtered entity lists (by type, pagination, and optional published/date filters) or lexical/semantic retrieval via search. Strict mode: search cannot be combined with non-default sorting or published filters. Set include_snapshots=false for lightweight responses that omit snapshot/provenance/raw_fragments. Use snapshot_filters to filter by snapshot field values server-side (e.g. { "status": { "op": "eq", "value": "active" } } for active entities). Compatibility aliases search_query and query are accepted but search is canonical. For deep pagination under the default sort (sort_by=entity_id), pass the next_cursor from a prior response back as cursor instead of a large offset; offset beyond a bounded depth is rejected and cursor is not supported with search, non-default sort_by, or a non-zero offset in the same call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of entities to return (default 100). Capped at 500 when `include_snapshots` is true (the default), since each snapshot is hydrated synchronously; lower the page size or set `include_snapshots=false` for larger pages.
queryNoCompatibility alias for `search`.
cursorNoOpaque keyset pagination cursor from a previous response's `next_cursor`. Returns the next page in O(page size) time regardless of position, unlike `offset` which is bounded and deprecated. Only supported with the default `sort_by=entity_id`; cannot be combined with `search` or a non-zero `offset`. Reusing a cursor after changing `sort_order` returns a structured error.
offsetNoDeprecated in favor of `cursor`. Still accepted for back-compat but internally bounded: values above 2000 are rejected with a structured hint pointing to `cursor`. Supplying a non-zero `offset` together with `cursor` is rejected as a validation error; use one or the other. (default 0).
searchNoCanonical free-text query for lexical/semantic retrieval. Cannot be combined with published filters or non-default sorting.
sort_byNoSort field. Non-default values cannot be combined with `search`. Predefined values: `entity_id`, `canonical_name`, `observation_count`, `last_observation_at`, `submitted_at` (orders by `snapshot.created_at`). In addition, `snapshot.<field>` is supported for any snapshot field (e.g. `snapshot.period_end` for time-series entity types such as `usage_digest`). The field value is sorted lexicographically as a string, so ISO-8601 date strings must use a consistent format so that lexicographic order matches temporal order.
user_idNoOptional explicit user ID (normally inferred from auth context).
publishedNoFilter by snapshot.published. Cannot be combined with `search`.
sort_orderNoSort direction. `desc` cannot be combined with `search`.
entity_typeNoOptional single entity type filter (for example: post, task, contact). Combined as a union with `entity_types` when both are supplied.
entity_typesNoOptional multi-type filter. When non-empty, results are restricted to entities whose type is in this list (IN filter), OR-combined with `entity_type`. An empty array is treated as no filter.
search_queryNoCompatibility alias for `search`.
created_sinceNoISO 8601 timestamp. Return only entities whose created_at is greater than or equal to this value.
updated_sinceNoISO 8601 timestamp. Return only entities whose updated_at is greater than or equal to this value.
include_mergedNoWhether to include merged entities (default false).
published_afterNoInclusive lower bound for snapshot.published_date (ISO date/datetime). Cannot be combined with `search`.
published_beforeNoInclusive upper bound for snapshot.published_date (ISO date/datetime). Cannot be combined with `search`.
snapshot_filtersNoFilter entities by snapshot field values. Each key is a snake_case snapshot field name (e.g. `status`, `priority`); the value specifies operator and comparison value. Filters are applied server-side via `snapshot->>{field}` JSONB extraction, so only entities whose snapshot contains a matching value are returned. Example: `{ "status": { "op": "eq", "value": "active" } }` returns only entities with `snapshot.status === "active"`. Supported ops: `eq`, `in`, `gt`, `lt`, `gte`, `lte`, `contains`, `contains_word`. `contains` is a raw case-insensitive SUBSTRING match — `{ "title": { "op": "contains", "value": "CTO" } }` also matches "director" and "doctor", and `"COO"` matches "coordinator". Prefer `contains_word` when you mean a whole word/token: it matches only when the value appears as a complete token delimited by punctuation or whitespace, so `"CTO"` matches "VP, CTO" and "CTO & Co-founder" but not "director"; `"Care"` does not match "Careers". Punctuation inside the term is handled: `"O'Brien"`, `"R&D"`, and `"100%"` match their stored values (separators in the term are normalized the same way as the stored value). Case-insensitivity for `contains_word` is ASCII-only.
include_snapshotsNoWhen false, omit snapshot/provenance/raw_fragments payloads for lightweight responses.
exclude_bookkeepingNoWhen true, omit chat bookkeeping types (`conversation`, `conversation_message`, etc.) from results. Default false. Has no effect when `entity_type` already filters to a bookkeeping type.
similarity_thresholdNoSemantic distance threshold when `search` is used. Lower is stricter (typical 1.0-1.05).
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 strict-mode combination rules, alias handling, cursor and offset limitations, snapshot_filters behavior including `contains` vs `contains_word` semantics, case-insensitivity, and performance implications of include_snapshots. This significantly exceeds standard behavioral disclosure.

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 long but densely informative with no filler. It is front-loaded with the primary use-case and then systematically covers constraints, filtering, and pagination. Every sentence provides actionable guidance for a high-complexity tool (21 params).

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 21 parameters, nested snapshot_filters object, and no output schema/annotations, the description covers use cases, constraints, filter semantics, pagination strategy, and performance advice. It mentions response elements (next_cursor, snapshot payloads) and error behavior. It is unusually complete for such a complex tool.

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 covers all 21 parameters (100%), but the description adds substantial meaning: explains why limit is capped at 500 with snapshots, clarifies cursor vs offset trade-offs, snapshots filter operators with examples, lexicographic sort behavior, and the compatibility aliases. This is well beyond the schema's property descriptions.

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 explicitly states 'Use this when you need filtered entity lists' and 'lexical/semantic retrieval via search', clearly specifying a list/query operation on entities. It distinguishes from siblings like retrieve_entity_snapshot (single entity) by focusing on filtered lists and search.

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?

Opens with 'Use this when you need filtered entity lists' and provides explicit constraints: search cannot combine with non-default sorting or published filters; include_snapshots=false for lightweight responses; cursor vs offset for deep pagination. Gives guidance on when to use snapshot_filters and compatibility aliases, plus conditions when cursor is unsupported.

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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