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black-dash77

ORA

by black-dash77

ora_human_recall

Search active human memories with neural scoring, prioritizing recent, important, and emotional memories for context-aware assistance.

Instructions

Chercher dans les souvenirs du human actif avec scoring neuronal. Les souvenirs recents, importants et emotionnels sont privilegies.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNombre max de resultats (defaut 5)
queryYesRecherche dans les souvenirs
min_impactNoScore d'impact minimum (0.0 a 1.0)
project_pathNoFiltrer par projet
Behavior3/5

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

No annotations are provided, so the description carries full burden. It discloses neural scoring and prioritization, which adds behavioral context beyond a simple search. However, it does not mention read-only nature, auth requirements, or side effects, leaving gaps.

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?

Two sentences with no extraneous words. Front-loaded with the main action and scoring behavior. Could be slightly more structured but remains efficient.

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 no output schema and no annotations, the description is moderately complete for a search tool. It explains scoring and filtering but lacks details on return format or result structure, which is acceptable for a simple query 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 coverage is 100% with descriptions for all four parameters. The description does not add extra meaning beyond the schema's parameter descriptions, so baseline score is appropriate.

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 tool searches memories with neural scoring and prioritizes recent, important, and emotional memories. It distinguishes from siblings like ora_human_introspect or ora_human_forget by specifying its search and scoring focus, though not explicitly naming alternatives.

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?

No explicit guidance on when to use this tool versus siblings. The description implies it is for searching memories but does not provide conditions or exclusions. The agent would need to infer usage from 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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