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get_fulfillment_quote_cached

Retrieve a cached fulfillment provider quote, fetching fresh data only if the cache is expired, to minimize redundant API calls.

Instructions

Get a cached fulfillment provider quote (or fetch fresh if expired).

Uses TTL-based caching to avoid redundant provider API calls.

Args:
    file_path: Path to the design file.
    provider: Fulfillment provider name.
    material: Material specification.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
materialNo
providerNo
file_pathYes
Behavior3/5

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

With no annotations, the description bears full burden. It discloses caching with TTL and fallback to fresh fetch, which is key behavioral info. However, it does not discuss error handling, cache miss behavior, or any side effects. The description provides moderate transparency but omits details about what happens when the cache misses or on failure.

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?

The description is concise: two sentences plus a brief bullet list. It front-loads the core purpose and caching mechanism. The bullet list, while not adding much semantic depth, is acceptable given the lack of schema descriptions. No unnecessary words. Could be slightly improved by integrating Args into prose without repeating parameter names trivially.

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?

Given no output schema and 0% schema coverage, the description should explain what the tool returns (e.g., a quote object with pricing, availability). It explains the caching behavior but omits the return structure and prerequisites (e.g., file_path existence, provider validity). For a simple caching tool, it is adequate but not fully complete for an agent to understand the full context.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. The Args section provides minimal one-liners ('Path to the design file', 'Fulfillment provider name', 'Material specification') that add little beyond the parameter names. No formats, constraints, or allowed values are given. The descriptions are too generic to significantly aid an agent in constructing proper arguments.

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 'Get a cached fulfillment provider quote (or fetch fresh if expired)', which distinguishes it from a fresh quote tool. The verb 'get' with the specific resource 'cached fulfillment provider quote' and the caching behavior make the purpose precise and distinct from siblings like 'fulfillment_quote'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage when avoiding redundant API calls via 'Uses TTL-based caching to avoid redundant provider API calls', but it does not explicitly state when not to use it or mention alternatives like 'fulfillment_quote' for fresh quotes. The guidance is implied but lacks clear exclusion criteria.

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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