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memvid_enrich

Extract named entities from memory files to identify people, organizations, and locations for enhanced data analysis and retrieval.

Instructions

Run NER (Named Entity Recognition) enrichment to extract entities

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fileYesPath to the .mv2 memory file
allNoProcess all pending frames
frame_idNoSpecific frame ID to enrich
Behavior3/5

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

Annotations indicate this is a non-read-only, non-destructive, non-idempotent, closed-world operation, which the description doesn't contradict. The description adds value by specifying the enrichment type (NER) and goal (extract entities), but it lacks details on side effects, performance, or output format, which would be helpful given the absence of an output schema.

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 unnecessary words. It's front-loaded with the core action and goal, making it easy 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 moderate complexity (3 parameters, no output schema) and rich annotations, the description is minimally adequate. It covers the 'what' but lacks details on 'how' (e.g., output format, error handling) and usage context, which would improve completeness for an enrichment tool.

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 parameters. The description doesn't add any parameter-specific information beyond what's in the schema, such as explaining the relationship between 'all' and 'frame_id' or typical values. This meets the baseline for high schema coverage.

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 ('Run NER enrichment') and the goal ('to extract entities'), which is specific and actionable. However, it doesn't distinguish this tool from potential sibling tools that might also perform entity extraction or enrichment, though no obvious direct siblings exist in the provided list.

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. It doesn't mention prerequisites, typical use cases, or how it differs from other enrichment or processing tools in the sibling list, leaving the agent to infer usage context.

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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