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mnemostack_answer

Answers natural language queries by synthesizing retrieved memories into a concise factual response with confidence score and sources.

Instructions

Answer a question using retrieved memories.

Read-only, no side effects, no authentication required. Use this when you want a concise factual answer synthesized from memory search results instead of the raw matches returned by mnemostack_search. Returns a JSON object with ok, query, answer text, confidence (0.0-1.0), sources, degraded (components that fell back while serving the call), fallback_recommended, and error.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesNatural language question or keyword to search memories for
limitNoMaximum number of results to return (default 10)
filtersNoPayload filters applied inside every retriever (exact match or gte/lte ranges); the answer is generated only from memories inside the filtered scope.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

Despite no annotations, the description fully discloses read-only nature, no side effects, no authentication, and describes return value including fallback behavior and confidence, giving agents complete understanding of tool 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?

Four sentences that are front-loaded with the most important information (purpose, safety, when to use), and each sentence adds essential detail without any redundancy or fluff.

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 the tool's moderate complexity (3 parameters, output schema), the description covers function, usage guidance, behavioral traits, and return structure completely. The output schema is mentioned and fields listed, so no gaps remain.

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 baseline is 3. The description adds no additional meaning beyond the schema for parameters, merely restating the tool's purpose without clarifying parameter usage or format.

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 the tool's action ('Answer a question') and resource ('using retrieved memories'), differentiating it from sibling mnemostack_search which returns raw matches.

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 guides when to use this tool ('when you want a concise factual answer') vs. the alternative mnemostack_search ('instead of the raw matches'), providing clear context and exclusion.

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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