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memvid_ask

Read-onlyIdempotent

Ask questions about memory files using retrieval-augmented generation to get answers from stored content with configurable search modes.

Instructions

Ask a question using RAG (Retrieval-Augmented Generation)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fileYesPath to the .mv2 memory file
questionYesQuestion to ask
top_kNoNumber of context documents to retrieve
context_onlyNoReturn only the retrieved context without synthesis
modeNoSearch mode: hybrid (default), lex (lexical), sem (semantic)hybrid
Behavior3/5

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

Annotations cover key traits (read-only, non-destructive, idempotent, closed-world), so the bar is lower. The description adds value by specifying the RAG method, but doesn't disclose additional behavioral details like rate limits, auth needs, or output format. It doesn't contradict annotations, so a baseline score is appropriate.

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 a single, efficient sentence that directly states the tool's purpose without any fluff or redundancy. It's front-loaded and appropriately sized, making it easy for an agent to parse quickly.

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

Completeness3/5

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

Given the complexity of a RAG tool with 5 parameters and no output schema, the description is minimal. It states the core purpose but lacks details on behavior, output, or integration with siblings. With annotations providing safety info, it's adequate but has clear gaps in guiding full usage.

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 the schema fully documents all parameters. The description doesn't add any extra meaning or context beyond what's in the schema, such as explaining parameter interactions or typical values. With high schema coverage, a baseline score of 3 is warranted.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Ask a question') and the method ('using RAG'), which is specific and informative. However, it doesn't explicitly differentiate this tool from sibling tools like 'memvid_find' or 'memvid_vec_search', which might also involve retrieval or querying, so it misses full sibling distinction.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives, such as other query-related siblings like 'memvid_find' or 'memvid_vec_search'. There's no mention of prerequisites, context, or exclusions, leaving the agent with minimal usage direction.

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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