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extractStartupInsights

Analyze Hacker News threads and search results to extract product and business insights relevant to founders. Identifies patterns from Show HN launches, Ask HN discussions, and comments.

Instructions

Extract founder-relevant product and business insights from HN data

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoSearch query to analyze matching posts
storyIdNoAnalyze a specific story thread
maxItemsNoMaximum number of matching items to analyze
sourceTypeNoWhich HN source shape to analyzestory
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. It does not state whether the tool is read-only, mutates data, requires authentication, or has rate limits. The agent has no behavioral context beyond the basic function.

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 a single concise sentence front-loaded with the key action ('Extract'). It has no wasted words, but could benefit from slightly more detail without sacrificing conciseness.

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?

With 4 parameters, no output schema, and no annotations, the description is too sparse. It does not explain the output format, how parameters interact, or edge cases. The agent lacks sufficient context to use the tool reliably.

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?

All 4 parameters are described in the input schema (100% coverage). The tool description adds no additional meaning beyond what the schema provides. Baseline 3 is appropriate as 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 states the tool extracts 'founder-relevant product and business insights from HN data', which clearly identifies the verb and resource. However, it does not differentiate from sibling tools like 'search' or 'summarizeThread', which could overlap in functionality. The purpose is clear but lacks uniqueness.

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 is provided on when to use this tool vs. alternatives. The description does not mention prerequisites, contexts, or exclusion cases. The agent is left without decision criteria.

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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