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cache_exists

Check if one or more keys exist in a running cache instance. Returns the count of existing keys to verify presence before retrieval.

Instructions

Check whether one or more keys exist in a running cache instance (uses Redis EXISTS). Read-only — no side effects. Returns the count of keys that currently exist (integer 0 to N). If none of the keys exist, returns 0. If all exist, returns the total key count passed in. Duplicate keys in the input array are each counted separately (Redis behavior). Use this to check presence before a cache_get to avoid null handling, or to verify a cache warm-up completed. Use cache_get instead if you also need the value; use cache_ttl if you need expiry info.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
instance_idYesUUID of the cache instance to check (get from list_instances)
keysYesKeys to check for existence. Accepts exact keys only (no glob patterns).
Behavior5/5

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

No annotations provided, but description fully discloses behavior: 'Read-only — no side effects', 'Returns the count... integer 0 to N', 'Duplicate keys... counted separately (Redis behavior)'. Covers all relevant behavioral aspects.

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 thorough but slightly verbose. Every sentence adds value, but could be tightened. It is front-loaded with the main purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description explains the return value (integer count) and edge cases (none exist, all exist, duplicates). With 2 required params and no enums/complexity, it is complete.

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?

Schema coverage is 100% with descriptions for both parameters. The description adds context: instance_id is from list_instances, keys are exact only (no glob). This adds value beyond the schema.

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 existence of keys in a cache instance, specifically mentions Redis EXISTS, and distinguishes from siblings cache_get and cache_ttl by stating when to use each.

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

Usage Guidelines5/5

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

Explicit usage guidance: 'Use this to check presence before a cache_get to avoid null handling, or to verify a cache warm-up completed.' Also contrasts with cache_get (if you need value) and cache_ttl (if you need expiry info).

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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