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cache_similarity_distribution

Visualize the distribution of recent semantic similarity scores for a cache, using a histogram with 20 buckets. Identify similarity patterns and potential issues within a configurable time window.

Instructions

Histogram of recent similarity scores (20 buckets, width 0.1) for a semantic_cache. Errors on agent_cache.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
categoryNoRestrict to a single category
cache_nameYesCache name as registered in __betterdb:caches (e.g. 'betterdb_scache_prod').
instanceIdNoConnection ID; defaults to the active instance
window_hoursNoLookback window (default 24h, max 168h)
Behavior2/5

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

With no annotations provided, the description must fully disclose behavior. It mentions the error condition for agent_cache but does not specify whether the operation is read-only, what the error looks like, or any other behavioral traits like rate limits or safety.

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 extremely concise with two short sentences, front-loading the core purpose. Every word adds value without redundancy.

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

Completeness2/5

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

The tool has 4 parameters and no output schema, so the description should explain the return format and usage context. It fails to describe what the histogram output looks like, how to interpret the buckets, or when to use this analytical tool among siblings.

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%, so the baseline is 3. The description adds no additional meaning beyond what the schema already provides for the parameters.

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?

The description clearly identifies the tool as returning a histogram of recent similarity scores for a semantic cache, with specific bucket count and width. It distinguishes the resource type but does not differentiate from sibling tools like cache_health or cache_threshold_recommendation.

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?

The description notes that the tool 'errors on agent_cache,' which is a usage constraint, but it does not explicitly state when to use this tool over alternatives or provide any context about appropriate use cases.

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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