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capterra_product

Retrieve a Capterra product's name, description, category, and aggregate rating from its public product page using the product ID.

Instructions

Get a Capterra product. Returns a normalized Capterra product profile: name, description, category, and aggregate rating. Credential-free public Capterra data, rendered from the product page through proxied browser renderers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_idYesCapterra product id (the numeric id in a /p/{id}/{slug}/ URL)
Behavior4/5

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

No annotations are provided, so the description carries full burden. It discloses that data is public, credential-free, and rendered via proxied browser renderers. This is sufficient for a read-only tool, though rate limits or caching are not mentioned.

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 two sentences, front-loading the purpose and succinctly adding details. Every sentence contributes meaning without redundancy.

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?

Despite no output schema, the description lists the returned fields (name, description, category, aggregate rating). For a simple product retrieval, this provides complete context for an AI agent.

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 a clear description of the product_id parameter. The description adds no further meaning beyond the schema, so it meets the baseline with no additional value.

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 'Get a Capterra product' and lists the returned fields (name, description, category, aggregate rating). It effectively distinguishes from sibling tools like capterra_search and capterra_reviews.

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 mentions 'Credential-free public Capterra data' indicating no authentication needed, and describes the data source. However, it does not explicitly contrast with alternatives or provide when-not-to-use scenarios.

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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