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Aggregate GTM Signals

aggregate_gtm_signals
Read-onlyIdempotent

Aggregate hiring and tech-stack signals into a single composite score with recommended action and optional summary for targeted outreach.

Instructions

Aggregate a company's GTM signals into one composite score. Runs hiring and tech-stack detection in one call and returns a composite score, recommended action, and optional summary as a flat, Clay-ready JSON row. Read-only; requires an APIFY_TOKEN and consumes Apify credits per call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
company_domainYesBare company domain, e.g. stripe.com
include_summaryNoInclude a plain-English gtm_signal_summary.
explain_modeNoIf true, the summary becomes a longer, more detailed explanation.
Behavior3/5

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

Annotations already provide readOnlyHint and idempotentHint. The description adds that it consumes Apify credits and requires a token, which is useful but not extensive.

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, front-loaded with purpose, then details on what it does and constraints. Efficient and no wasted words.

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?

Covers main functionality but lacks details about the output structure (e.g., fields in the Clay-ready JSON row). No output schema, so description should provide more context on return format.

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 description adds minimal meaning beyond the schema. The description mentions optional summary but does not elaborate on parameters beyond schema descriptions.

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 the tool aggregates GTM signals into one composite score, mentioning hiring and tech-stack detection. Distinguishes from sibling tools that perform individual scans.

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?

Indicates it runs multiple detections in one call and is read-only, but does not explicitly state when to use versus siblings or provide exclusions. The context is clear enough for an agent.

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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