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hermoso-ai

Hermoso

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Pull competitor ads

pull_competitor_ads
Read-only

Pull a brand's real running ads across Meta, Google, and LinkedIn ad libraries, deduped and sorted for streamlined competitor ad research.

Instructions

Pull a brand's real running ads across Meta / Google / LinkedIn ad libraries (deduped, sorted, right page resolved). Spends ScrapeCreators credits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNo'longest_running' (default) etc.
limitNomax ads per platform (default 30)
domainNothe advertiser domain
countryNo2-letter, default 'US'
platformsNodefault ['facebook']; add 'google','linkedin'
companyNameNothe advertiser name

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
googleNoGoogle results ({ads[], cursor} or {error}; null when not requested)
facebookNoMeta results ({ads[], matched} or {error}; null when not requested)
linkedinNoLinkedIn results ({ads[], cursor} or {error}; null when not requested)
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true. The description adds that results are deduped, sorted, and right-page resolved, and that it spends credits. It does not mention pagination, rate limits, or error handling, but annotations cover the safety profile adequately.

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 concise sentence with parenthetical details. Every word adds value, and it is front-loaded with the core purpose.

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?

Given the presence of an output schema, the description does not need to explain return values. It covers the operation well, though the term 'right page resolved' could be clarified. Overall sufficient for a read tool with high schema coverage.

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 parameter descriptions already provided. The description adds overall behavior (deduped, sorted) but no additional parameter-specific meaning beyond what the schema offers. Baseline 3 is appropriate.

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 verb 'Pull', the resource 'a brand's real running ads', and the scope 'across Meta / Google / LinkedIn ad libraries'. It also mentions deduping and sorting, which distinguishes it from sibling search tools like search_meta_ads.

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?

The description provides no guidance on when to use this tool versus alternatives like search_meta_ads or research_ads. It mentions credit consumption but lacks explicit when-to-use or when-not-to-use context.

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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