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Get vendor benchmark

get_benchmark
Read-onlyIdempotent

Per-vendor benchmark card by slug within any theme: full provenanced record plus dataset-derived indicators (entry price, normalized cost at 100 and 500 calls/mo where call-volume applies, billing models, free-tier presence, compliance, integration breadth). Set section to the theme slug from list_sections. All values trace to plan sources; no synthetic scores. Each priced plan carries a citation: figure, plan, source page, read date and record URL in one line.

Input Schema

NameRequiredDescriptionDefault
slugYes
sectionNoTheme slug to query (default "ai-receptionists"). A theme is any of the 275 pricing topics this index covers: the deep hub sections (e.g. ai-receptionists) plus the many catalog topics (e.g. vpn-services, web-hosting, password-managers). list_sections and list_coverage return the full slug list.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / section / description
      Previous value: -"Theme slug to query (default \"ai-receptionists\"). A theme is any of the 275 pricing topics this index covers: the deep hub sections (e.g. ai-receptionists) plus the many catalog topics (e.g. vpn-services, web-hosting, password-managers). Call list_sections or list_coverage for the full slug list — do not assume the old four-section set."New value: +"Theme slug to query (default \"ai-receptionists\"). A theme is any of the 275 pricing topics this index covers: the deep hub sections (e.g. ai-receptionists) plus the many catalog topics (e.g. vpn-services, web-hosting, password-managers). list_sections and list_coverage return the full slug list."
  2. Changed1 schema field changed
    • changedInput schema / properties / section / description
      Previous value: -"Theme slug to query (default \"ai-receptionists\"). A theme is any of the 273 pricing topics this index covers: the deep hub sections (e.g. ai-receptionists) plus the many catalog topics (e.g. vpn-services, web-hosting, password-managers). Call list_sections or list_coverage for the full slug list — do not assume the old four-section set."New value: +"Theme slug to query (default \"ai-receptionists\"). A theme is any of the 275 pricing topics this index covers: the deep hub sections (e.g. ai-receptionists) plus the many catalog topics (e.g. vpn-services, web-hosting, password-managers). Call list_sections or list_coverage for the full slug list — do not assume the old four-section set."
  3. Changed1 schema field changed
    • changedInput schema / properties / section / description
      Previous value: -"Theme slug to query (default \"ai-receptionists\"). A theme is any of the 271 pricing topics this index covers: the deep hub sections (e.g. ai-receptionists) plus the many catalog topics (e.g. vpn-services, web-hosting, password-managers). Call list_sections or list_coverage for the full slug list — do not assume the old four-section set."New value: +"Theme slug to query (default \"ai-receptionists\"). A theme is any of the 273 pricing topics this index covers: the deep hub sections (e.g. ai-receptionists) plus the many catalog topics (e.g. vpn-services, web-hosting, password-managers). Call list_sections or list_coverage for the full slug list — do not assume the old four-section set."
  4. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already cover safety (readOnly, idempotent, non-open-world), but the description adds useful behavioral context: values are provenance-backed, there are no synthetic scores, and each priced plan carries a citation with source and read date. It does not discuss auth, rate limits, or response shape, but it meaningfully supplements the annotations.

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?

Purpose is front-loaded in the first sentence, followed by parameter sourcing, provenance guarantees, and citation detail. The description is dense but every sentence contributes useful information with no filler.

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 tool with no output schema, the description does a good job explaining the returned benchmark card and its indicators. It could more fully specify the vendor slug format and expected record shape, but it is largely complete for correct invocation.

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?

The `section` parameter is well described in the schema, and the description reinforces that it is a theme slug sourced from list_sections. The required `slug` parameter is only implied by “per-vendor ... by slug”; the description does not define its expected vendor-slug format or source.

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 resource and lookup mode: a per-vendor benchmark card by slug within a theme, including the indicators returned. It is clear what the tool retrieves, but it does not explicitly distinguish itself from siblings such as search_vendors or get_normalized_pricing.

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?

Gives no guidance on when to use this tool versus siblings like compare, find_best, search_vendors, or get_normalized_pricing. The only routing information is that `section` should come from list_sections, which is parameter guidance rather than usage guidance.

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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