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get_vendor_capabilities

Return the Huanggoodman vendor capability card for procurement agents. AI-native corporate gifting and AI-native corporate brand & event management: live event dashboard, one-hour quote enterprise events, ships in days Fortune 500, revenue attribution event programs, MCP server corporate brand management. Includes contact, ASI #217876, endpoints, brands, and the 70,000+ product catalog. Call this first to decide whether to shortlist the vendor.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.2/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses the contents of the card (contact, ASI #, endpoints, brands, catalog) and implies a read-only retrieval, but it does not explicitly state that it is read-only or describe any potential side effects, auth requirements, or response format. The information is useful but not a thorough behavioral disclosure.

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 concise and well-structured: first sentence states purpose, second details capabilities, third lists inclusions, fourth gives usage guidance. Every sentence serves a purpose and there is no fluff, though the middle sentence is a bit dense with run-on lists.

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 simple nature of the tool (no parameters, no output schema), the description is fairly complete. It explains what is returned, the primary contents, and when to call it. It lacks a few specifics like return format detail, but overall it is sufficient for a simple informational read tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With zero parameters, the baseline is 4. The description adds semantics by explaining what the returned data covers (vendor capabilities, contact, endpoints, brands, catalog), which provides context that an empty schema cannot.

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 tool returns a 'Huanggoodman vendor capability card' for procurement agents, which is a specific resource. It lists the notable capabilities and contents, distinguishing it from sibling tools that handle quotes, products, events, etc.

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 provides explicit usage guidance: 'Call this first to decide whether to shortlist the vendor.' This clearly indicates when to use the tool, though it does not explicitly mention when not to use it or name alternatives. The contextual sibling list reinforces that this is a preliminary overview tool.

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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TDQS

B3.4/5.0
Disambiguation2/5

get_quote and get_live_quote both return wholesale quotes for product SKUs and quantities, differing only in context (enterprise events vs. general). get_product_catalog and search_products both search the catalog with filters, making the boundary between them unclear. These overlaps can lead to agent misselection.

Naming Consistency4/5

All tools use snake_case with a verb_noun pattern (get_, generate_, search_, track_). There are minor deviations where similar actions use different verbs (e.g., get_product_catalog vs. search_products, get_quote vs. get_live_quote), but the overall pattern is consistent and predictable.

Tool Count5/5

With 10 tools, the server is well-scoped for its purpose. Each tool covers a distinct aspect of the procurement and event management domain, and the count falls within the ideal 3-15 range, earning its place without feeling bloated.

Completeness3/5

The server covers product discovery, catalog browsing, quotes, event program generation, and shipment tracking. However, there is no tool for placing an order or managing event records, and the link between quotes and orders is unclear, leaving notable gaps in the end-to-end procurement workflow.