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NeuralVerge Business Intelligence

Gartner products search

run_gartner_products_search

Search Gartner Peer Insights products by keyword: name, vendor, and review count. 1 point per returned record.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch term. e.g. salesforce
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. 'salesforce'."New value: +"Search term. e.g. salesforce"
  2. Added

TDQS

B3.4/5.0
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 usefully discloses the cost model ('1 point per returned record') and the return fields (name, vendor, review count), but omits other behavioral details such as read-only safety, authentication requirements, pagination behavior, or error handling.

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 the core action and resource, followed by a concise cost note. Every word earns its place with no redundancy.

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?

For a simple search tool with only two parameters, no output schema, and no annotations, the description conveys the key return fields and cost. It is largely complete, though it could include a brief note on read-only nature or pagination to be fully self-contained.

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 description coverage is 100%, so the schema already fully documents both parameters. The description adds no extra parameter semantics (e.g., max_items behavior or query syntax) beyond what the schema provides, making the baseline score of 3 appropriate.

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 a specific verb (Search) and resource (Gartner Peer Insights products) and clarifies the search is by keyword. It distinguishes itself from siblings like run_gartner_markets_search by naming the resource, but does not explicitly call out alternatives or exclusions, so it falls short of a 5.

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?

There is no guidance on when to use this tool versus alternatives such as run_gartner_product, run_gartner_markets_search, or run_gartner_vendor. The description only implies usage through its verb, providing no explicit context or exclusions.

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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