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cache_similarity_distribution

Generate a histogram of recent similarity scores for a semantic cache, showing distribution across 20 buckets to analyze cache behavior.

Instructions

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

Input Schema

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

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

With no annotations, the description must fully disclose behavior. It mentions that the tool errors on 'agent_cache', which is helpful, but it does not discuss side effects, required permissions, rate limits, or whether it modifies state. The read-only nature is implied but not explicit.

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 a single, short sentence that conveys the essential purpose. It is front-loaded with the key function and lacks unnecessary words, but it could be slightly more structured (e.g., separating the histogram specification from the error note).

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?

The description lacks output schema details, so the agent must infer the histogram structure. It provides some context (20 buckets, width 0.1) but does not explain the return format, whether it includes counts or probabilities, or how to interpret results. Given the tool's complexity, more information is needed for fully autonomous use.

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 description coverage is 100%, so the schema already documents all parameters adequately. The description adds no additional parameter-level detail beyond what is in the schema, so a baseline score of 3 is appropriate.

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 a histogram of similarity scores for a semantic cache, specifying the number of buckets (20) and width (0.1). It also notes that it errors on 'agent_cache', distinguishing it from other cache analysis tools.

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 guidance is provided on when to use this tool versus alternative cache tools. There is no mention of prerequisites, limitations, or recommended use cases beyond the basic function.

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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