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search_events

Search logged events by plain-text query to find matching event summaries with type and timestamp. Case-insensitive substring matching against summaries and notes.

Instructions

Plain-text search across all logged events.

Token-efficient alternative to get_summary when you only need events
matching a keyword. Returns matching event summaries with type and
timestamp.

Read-only. Case-insensitive substring matching against each event's
summary and notes. Empty result returns a friendly message, not an
error.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of matching events to return (most recent first). Defaults to 10. Recommended range: 1-100.
queryYesCase-insensitive substring matched against each event's summary and notes. Plain text only — no regex or boolean operators.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Discloses read-only nature, case-insensitive substring matching, and empty result handling. Lacks details on performance or rate limits but covers key behaviors well given no annotations.

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?

Three short, front-loaded sentences covering purpose, usage alternative, and behavioral details. No wasted words; every sentence adds value.

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

Completeness5/5

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

Covers purpose, alternatives, behavior, and return format ('matching event summaries with type and timestamp'). Output schema exists, so return details are complete.

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%, so baseline is 3. Description repeats some schema info but adds minimal new parameter-specific meaning beyond the schema details.

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?

Clearly states 'Plain-text search across all logged events' and distinguishes from sibling tool get_summary by positioning itself as a token-efficient alternative for keyword matching.

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

Usage Guidelines5/5

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

Explicitly names get_summary as the alternative and specifies when to use this tool: 'when you only need events matching a keyword'. Provides clear context for selection.

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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