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danielsimonjr

Enhanced Knowledge Graph Memory Server

search_by_time

Search knowledge graph entities using natural language time expressions like 'yesterday' or 'last month', filtered by timestamp fields.

Instructions

Search entities using a natural language time expression (e.g. "last week", "yesterday", "in January")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fieldNoWhich timestamp field to filter on (default: any)
queryYesNatural language time expression to parse and search
includeUndatedNoIf true, treat entities with no timestamps as matching (default: false)
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits, but it only states the basic purpose. It does not mention side effects, scope restrictions, case sensitivity, or result format, leaving significant gaps.

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?

Single sentence of 13 words, front-loads the core purpose with no wasted or redundant information.

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

Completeness2/5

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

Lacks details on output format, pagination, error handling, and scope. For a search tool with no output schema, the description should provide more context about expected results and behavior.

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%, and the description adds minimal value beyond examples (e.g., 'last week'). Baseline of 3 is appropriate since the schema already adequately documents parameters.

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 'Search entities using a natural language time expression' with specific examples ('last week', 'yesterday'). It distinguishes from sibling tools like 'search_by_date_range' which uses explicit date ranges, making its unique proposition clear.

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 alternative search methods. The description does not mention prerequisites, limitations, or contrast with siblings like 'search_by_date_range' or 'semantic_search'.

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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