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limitless_list_lifelogs_by_date

Retrieve lifelog recordings for a specific date to analyze for summaries, action items, and topics using raw log data from wearable devices.

Instructions

Lists logs/recordings for a specific date. Best for getting raw log data which you can then analyze for summaries, action items, topics, etc.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYesThe date to retrieve lifelogs for, in YYYY-MM-DD format.
limitNoMaximum number of lifelogs to return (Max: 100). Fetches in batches from the API if needed.
timezoneNoIANA timezone for date/time parameters (defaults to server's local timezone).
includeMarkdownNoInclude markdown content in the response.
includeHeadingsNoInclude headings content in the response.
directionNoSort order ('asc' for oldest first, 'desc' for newest first).
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It mentions the tool is for 'getting raw log data' and analysis, but doesn't disclose behavioral traits like whether it's read-only, has rate limits, authentication needs, or what the response format looks like. The description adds minimal context beyond the basic purpose.

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?

The description is concise and front-loaded with the core purpose in the first sentence. The second sentence adds useful context about usage. Both sentences earn their place, though it could be slightly more structured (e.g., explicitly mentioning sibling tools).

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 annotations and no output schema, the description is moderately complete for a list tool. It covers the purpose and usage context but lacks details on behavioral traits (e.g., pagination, error handling) and output format, which are important for a tool with 6 parameters and no structured output documentation.

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 already documents all parameters thoroughly. The description doesn't add any parameter-specific information beyond what's in the schema, such as explaining how 'date' interacts with 'timezone' or the implications of 'includeMarkdown'. Baseline 3 is appropriate when the schema does the heavy lifting.

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's purpose: 'Lists logs/recordings for a specific date.' It specifies the verb ('Lists') and resource ('logs/recordings'), but doesn't explicitly differentiate from siblings like 'limitless_list_lifelogs_by_range' or 'limitless_list_recent_lifelogs' beyond the date specificity.

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

Usage Guidelines3/5

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

The description provides some usage guidance: 'Best for getting raw log data which you can then analyze for summaries, action items, topics, etc.' This implies when to use it (for raw data analysis), but doesn't explicitly state when not to use it or name alternatives among the sibling tools.

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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