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Glama

omniseek_statement

Record, list, or remove directed typed relations between nodes to persist judgments that APIs cannot infer; resurface them in graph and search results.

Instructions

Use WHEN you've concluded a DIRECTED, decision-relevant relation OmniSeek does NOT already store mechanically (X acquired_by Y, paper P refutes claim Q, path R requires gate S) and want the graph to carry it forward — record / list / retract typed relation statements (the general sibling of omniseek_ruling; identity types belong to omniseek_ruling).

Fully-qualified MCP name: mcp__omniseek__omniseek_statement (server name is omniseek; there is no omniseek-eye server).

OmniSeek never MAKES a statement; it STORES yours as declarative state and PROJECTS it at read time (the rulings / sensors.json precedent: judgment persisted as config OmniSeek applies mechanically). A statement is a DIRECTED, typed relation between two graph node ids: "openai --acquired_by--> someone", "paper X --refutes--> claim Y". It surfaces in omniseek_graph's neighborhood / between / since under working / exploratory (never conservative — the pure mechanical world) AND, since the write-side read-back, AMBIENT on any future omniseek_search hit of an endpoint (the metadata.graph.judgments stamp): recording is NOT write-only — your judgment returns to you when you next touch the node. The directed triple (src, dst, type) is the KEY, so re-creating it REPLACES the prior note; direction is YOUR assertion, never normalized.

WHAT EARNS A STATEMENT (the value gate — all three must hold, else it is noise that BURIES the edges carrying a real decision; the graph's value is inverse to its noise density):

  1. NON-MECHANICAL — a relation OmniSeek does NOT already store as a fact. cites / authored / affiliated / coauthored / published_in / about and bare bibliometric counts are the mechanical M/A world; re-asserting them here pollutes the judgment channel, which is for what an API cannot read off: YOUR read.

  2. DECISION-RELEVANT — resurfacing it would change a future call (a positioning, a gate, a disqualifier, a fit verdict, a trajectory read). A true-but-inert edge (both-about-RAG, everyone-at-lab-X-affiliated-with-X) is noise.

  3. AS-OF-STAMPED IF A SNAPSHOT — a point-in-time relation (leads / rising / froze_hiring) drifts while its endpoints stay; put the as-of date in the note, or route it to a sensor, so a future reader never mistakes a stale snapshot for the present.

type is FREE agent vocabulary (mechanically slugged: lowercase, spaces -> underscores, [a-z0-9_] only, <= 40 chars; views never branch on it). An OPEN family, NOT a menu — coin your own; some exemplars across domains: • positioning: attacks_premise_of / near_miss_of / validates_premise_of / does_not_flatten / anchors / introduces (map a competitive / thesis landscape around a claim node). • provenance / motive: sourced_from_motivated_party / covers (a source's motive; a walled or cross-lingual source covering what another missed). • DECISION-space (the non-academic half, easiest to forget): requires / blocked_by / gated_on (a blocking precondition), disqualified_by / ruled_out_because (an option-eliminator), good_fit_for / misaligned_with / froze_hiring / rising (fit + trajectory), reached ... via (a PATH-SAMPLE: how someone actually reached an outcome). Two types are REFUSED with a pointer to omniseek_ruling: same_as / not_same_as — identity is a pair-keyed, symmetric judgment the collapse machinery consumes, kept to omniseek_ruling's one channel.

MEMORY-vs-GRAPH boundary: prose understanding (a lesson, a conclusion, context, confidence, scope) is the ATOM — it lives in YOUR own notes / memory, or in this statement's note. The graph statement is a POINTER, minted only when there is a specific PAIR of wall-addressable nodes whose FUTURE retrieval must carry the judgment; its note / doc point BACK at the prose rather than restating it. Default to prose; the edge is an opt-in index. (Everything is both a thought and an edge; the test is whether two NAMED nodes must carry it forward.)

Endpoints may be ANY node id, even ones no tap minted (claim:..., org:..., inst:label:openai): a statement may pre-date the wall. Such HAND-MINTED ids FRAGMENT across sessions (claim:c3_wedge vs claim:c3_exact_wedge silently orphans the edge), so REUSE an existing id: a create echoes similar_anchors (existing near-match hand-minted ids) so you reuse one instead of minting a near-duplicate; keep a stable slug for your durable anchors.

action picks what to do: • action="create" (src, dst, type, note; optional doc) -> record. note is the REQUIRED reasoning; doc the optional provenance node id (a doc:{source}:{sid} or a note id, strongly encouraged). Returns {created, statement, replaced, similar_anchors?}. A bad type / empty endpoint / empty note / a refused identity type -> {"error": ...}. • action="list" (optional about=node id, optional type) -> {statements, count}, filtered to statements touching about and/or of type. Capped at 200 with a capped flag. • action="delete" (src, dst, type) -> {deleted: true/false}.

Like omniseek_ruling this is a SEPARATE tool from omniseek_graph (omniseek_graph stays read-only, hence batchable in omniseek_gather). Unknown action -> {"error": ...}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
docNo
dstNo
srcNo
noteNo
typeNo
aboutNo
actionYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

A4.9/5.0
Behavior5/5

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

With no annotations, the description carries the full burden and does so thoroughly: it discloses replace-on-recreate semantics, non-normalization of direction, ambient projection on search, hand-minted id fragmentation, similar_anchors echo, per-action returns, list cap of 200, and error behavior for bad actions or types. This is far beyond typical disclosure.

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 long, but the tool is genuinely complex and the length is justified by actionable detail. It is well organized with clear section headings and front-loaded intent; minor redundancy around omniseek_ruling and graph separation keeps it from a 5.

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 output schema and minimal input schema descriptions, the description supplies everything needed to invoke all three actions correctly: endpoint flexibility, type constraints, refused types, memory-vs-graph boundary, action-specific parameters, return shapes, and failure modes. An agent can call this tool without further clarification.

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 description coverage is 0%, but the description defines what each action needs: create requires src, dst, type, note with optional doc; list takes optional about and type; delete takes src, dst, type. It also explains the meaning of note, doc, type, and about with concrete examples and constraints.

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 opens with a precise verb-resource pair: 'record / list / retract typed relation statements' for directed, decision-relevant relations. It also distinguishes itself from omniseek_ruling and omniseek_graph, giving an agent a clear identity for this tool.

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?

It provides explicit when-to-use guidance via the three-part value gate (non-mechanical, decision-relevant, as-of-stamped) and names alternatives: omniseek_ruling for identity types, prose/memory as default, and omniseek_graph for read-only graph access. This removes ambiguity for selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.