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gf.search_capabilities

gf.search_capabilities

Rank verified commerce capabilities by intent, budget, region, protocol and payment method.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed11 schema fields changed
    • changedInput schema / additionalProperties
      Previous value: -falseNew value: +{}
    • removedInput schema / properties / budget_usdc
      Removed value: -{
      -  "minimum": 0,
      -  "type": "number"
      -}
    • removedInput schema / properties / goal
      Removed value: -{
      -  "type": "string"
      -}
    • removedInput schema / properties / intent
      Removed value: -{
      -  "type": "string"
      -}
    • removedInput schema / properties / limit
      Removed value: -{
      -  "maximum": 50,
      -  "minimum": 1,
      -  "type": "integer"
      -}
    • removedInput schema / properties / max_spend_usdc
      Removed value: -{
      -  "minimum": 0,
      -  "type": "number"
      -}
    • removedInput schema / properties / preferred_payment
      Removed value: -{
      -  "type": "string"
      -}
    • removedInput schema / properties / protocol
      Removed value: -{
      -  "type": "string"
      -}
    • removedInput schema / properties / query
      Removed value: -{
      -  "type": "string"
      -}
    • removedInput schema / properties / region
      Removed value: -{
      -  "type": "string"
      -}
    • removedInput schema / properties / task
      Removed value: -{
      -  "type": "string"
      -}
  2. First observed

TDQS

B3.2/5.0
Behavior2/5

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

No annotations exist, so the description carries the full burden. 'Rank' suggests a read-only, sorting operation, but the description does not disclose return format, number of results, direction of ranking, or whether the tool relies on current context or stored state.

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?

One dense sentence with no filler; the verb and the key distinction ('verified') are front-loaded. Every word earns its place.

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?

For a zero-parameter tool the core action and criteria are stated, which is enough to invoke with an empty object. However, with no output schema and no annotations, the agent still lacks information about the returned ranking structure and how to choose this tool over similar siblings.

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?

The input schema defines zero properties, so the baseline is 4. The description adds semantic value by naming the dimensions that presumably drive the ranking, even though it cannot clarify how those are supplied.

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 ('Rank') and a specific resource ('verified commerce capabilities'), and enumerates the ranking dimensions (intent, budget, region, protocol, payment method). It is not a tautology, but it does not explicitly distinguish itself from sibling tools like gcc_portfolio_rank or quote.

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?

No explicit when-to-use or when-not-to-use guidance is provided. The ranking criteria imply a use case, but there is no indication which sibling tools cover overlapping scenarios or when to prefer this one.

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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