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cache_get

Check for a cached LLM response from an identical prior request and return it to avoid redundant API calls.

Instructions

Check if an identical LLM request was already executed and cached. Returns the cached response or null.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messagesYesThe messages array that will be sent to the LLM.
modelYesThe model identifier.
Behavior3/5

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

No annotations provided, so description carries full burden. It states it checks and returns cached response or null, but does not explicitly confirm it is read-only or has no side effects. Adequate but could add 'does not modify cache'.

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, 18 words, front-loaded with purpose. No wasted words.

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 cache lookup tool with no output schema, the description covers the key behavior. Could elaborate on exact match criteria but sufficient for most agents.

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 coverage is 100% and both parameters are well-described there. The description adds no extra meaning beyond the schema, so baseline 3 is appropriate.

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 checks if an identical LLM request is cached, using specific verb+resource. It distinguishes from siblings like cache_set and blackboard tools which serve different purposes.

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 implies usage before executing an LLM request to avoid duplication. It does not explicitly mention when not to use or name alternatives, but the context is clear enough.

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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