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Exact Memory Search

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Find exact keyword matches in your memory graph. Returns ranked results with provenance for precise recall of specific terms, identifiers, or page titles.

Instructions

Keyword search across Memkin memory.

When to use: exact words, identifiers, tokens, page titles, or known phrases. When NOT to use: fuzzy conceptual recall; use query instead. Returns: ranked keyword matches with provenance. On error: simplify the query or relax filters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNoInclusive upper time bound as an ISO date or datetime.
fromNoInclusive lower time bound as an ISO date or datetime.
typeNoLimit results to page types such as `decision`, `task`, or `person`.
limitNoMaximum number of results. Search tools default to 20 and clamp to 50.
queryYesExact keyword query, for example `JWT token`.
channelNoLimit results to a stable source channel id, for example `dm/wechat/wxid_123`.
platformNoLimit results to one or more source platforms, for example `wechat` or `feishu`.
participantNoLimit results to memories involving this exact participant display name.
source_typeNoLimit results to one or more source types, for example `dm`, `group`, or `document`.
channel_nameNoLimit results to a human-readable channel name, for example `产品评审群`.
exclude_typesNoExclude these page types from results.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultsYesRanked memory results.
Behavior3/5

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

No annotations provided, so description carries burden. Mentions return type and error handling but lacks details on auth, rate limits, or side effects.

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?

Structured with headings and bullets, front-loaded, efficient. Every sentence adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given many parameters and output schema exists, description covers purpose, guidelines, and error handling. Could mention more about result behavior but overall adequate.

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

Parameters3/5

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

Schema description coverage is 100%, so description adds no extra parameter meaning beyond schema. Baseline 3 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?

Clearly states 'Keyword search across Memkin memory' and specifies exact words, identifiers, tokens, etc. Distinguishes from sibling 'query' for fuzzy recall.

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 (exact words) and when not to (fuzzy recall, use 'query'). Also provides error handling guidance.

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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