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NeuralVerge Business Intelligence

Capterra products search

run_capterra_products_search

Search Capterra software products by keyword: name, rating, review count, and image. 1 point per returned record.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch term. e.g. crm software
max_itemsNoMax items (up to 250) Default: 25.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / max_items / description
      Previous value: -"Maximum number of products to return (1-250, default 25). Billed at 1 point per returned record."New value: +"Max items (up to 250) Default: 25."
    • changedInput schema / properties / query / description
      Previous value: -"Search term, e.g. 'crm software'."New value: +"Search term. e.g. crm software"
  2. Added

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It does disclose billing behavior ('1 point per returned record'), which is valuable cost context absent from the schema. However, it says nothing about read-only semantics, pagination, rate limits, or partial-result behavior.

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?

Two short sentences, front-loaded with the action and resource; the second sentence adds the billing note without waste. No redundancy or filler.

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?

It partially covers return content (name, rating, review count, image), which matters since there is no output schema, and flags the point cost. But for a search tool with several close siblings, the lack of routing guidance and any pagination/auth note leaves gaps.

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 only two simple parameters (query, max_items), so the schema already documents both fully. The description adds no syntax, format, or matching hints beyond the schema's own example.

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?

States a specific verb (search) and resource (Capterra software products) and clarifies it is keyword-based, plus what fields come back. It does not differentiate from the close sibling run_capterra_category_products, which is a category-driven variant of the same resource.

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 phrase 'by keyword' implies you need a text query, but there is no explicit when-to-use guidance, no statement of when to prefer run_capterra_category_products or run_capterra_product instead, and no exclusions or prerequisites.

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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