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search_timeline

Search your personal timeline using natural language queries. Retrieve ranked events with timestamps and sources from your data exports.

Instructions

Search the user's life timeline with a natural-language query. Returns ranked events with timestamp, source and text.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNoOptional ISO-8601 upper bound on event time.
fromNoOptional ISO-8601 lower bound on event time.
limitNoMax results (default 10).
queryYesNatural-language query, e.g. 'dinner plans with Sarah'.
sourceNoOptional source filter: 'telegram' or 'google_takeout'.
Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It mentions output format but omits side effects, authentication needs, rate limits, or error handling. The read-only nature is plausible but not stated.

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?

Two sentences with no filler. Purpose and output are succinctly stated, and every sentence adds value.

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?

The description covers return fields but lacks pagination details, ordering, or clarification of 'ranked'. Given no output schema, more could be added for completeness.

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 baseline is 3. The description adds a natural-language query example ('dinner plans with Sarah') but does not enhance parameter meaning beyond what the schema already provides.

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 ('search'), resource ('user's life timeline'), and output format ('ranked events with timestamp, source and text'). It distinguishes the tool from siblings like get_events or list_sources by emphasizing natural-language query support, but does not explicitly differentiate.

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 guidance on when to use this tool versus alternatives (e.g., get_events for structured queries). The description implies usage for free-form search, but lacks explicit context or exclusions.

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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