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search_sparks

Search your saved Sparks by keyword across titles, tags, AI takeaways, and spark insights. Retrieve matching results to quickly locate articles during reading triage.

Instructions

Search your Sparks by keyword (searches title, tags, AI takeaway, spark insight)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results (default 10)
queryYesSearch keyword
Behavior3/5

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

With no annotations provided, the description carries the burden of disclosing behavior. It does reveal which fields are searched, which is useful. However, it does not mention return format, sorting, pagination, or read-only nature, leaving the agent without a full picture of what to expect.

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?

The description is a single, front-loaded sentence that conveys all essential information without redundancy. It earns its place and is optimally concise.

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

Completeness4/5

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

For a simple search tool, the description is adequately complete: it explains the search scope and fields. Since there is no output schema, it would be improved by mentioning what is returned, but the context of sibling tools and the nature of search make this a minor gap. It is complete enough for an agent to use correctly.

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 clear descriptions for both parameters (query and limit). The description adds the field list (title, tags, etc.), which is not in the schema, but it does not significantly enhance understanding of the parameters themselves. Baseline 3 is appropriate given the comprehensive schema.

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 the tool's function: searching Sparks by keyword, explicitly listing the searched fields (title, tags, AI takeaway, spark insight). This distinguishes it from sibling tools like search_vault and list_sparks, making the purpose unambiguous.

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

Usage Guidelines4/5

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

The description provides clear context that this tool is for searching within Sparks, as opposed to listing all Sparks (list_sparks) or searching the vault (search_vault). However, it does not explicitly state when not to use it or name alternative tools, so it falls short of a 5.

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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