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get_cache_hit_latency

Retrieve time-series analytics showing total and average latency for cache hits, enabling performance monitoring and optimization.

Instructions

Retrieve cache hit latency analytics as time-series data, showing total and average latency for cache hits over time

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
time_of_generation_minYesStart time for the analytics period (ISO8601 format, e.g., '2024-01-01T00:00:00Z')
time_of_generation_maxYesEnd time for the analytics period (ISO8601 format, e.g., '2024-02-01T00:00:00Z')
total_units_minNoMinimum number of total tokens to filter by
total_units_maxNoMaximum number of total tokens to filter by
cost_minNoMinimum cost in cents to filter by
cost_maxNoMaximum cost in cents to filter by
prompt_token_minNoMinimum number of prompt tokens
prompt_token_maxNoMaximum number of prompt tokens
completion_token_minNoMinimum number of completion tokens
completion_token_maxNoMaximum number of completion tokens
status_codeNoFilter by specific HTTP status codes (comma-separated)
weighted_feedback_minNoMinimum weighted feedback score (-10 to 10)
weighted_feedback_maxNoMaximum weighted feedback score (-10 to 10)
virtual_keysNoFilter by specific virtual key slugs (comma-separated)
configsNoFilter by specific config slugs (comma-separated)
workspace_slugNoFilter by specific workspace
api_key_idsNoFilter by specific API key UUIDs (comma-separated)
metadataNoFilter by metadata (stringified JSON object)
ai_org_modelNoFilter by AI provider and model (comma-separated, use __ as separator)
trace_idNoFilter by trace IDs (comma-separated)
span_idNoFilter by span IDs (comma-separated)
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions the tool retrieves analytics as time-series data but doesn't disclose behavioral traits like whether it's read-only, requires permissions, has rate limits, pagination, or what format the data returns. For a tool with 21 parameters and no annotations, this is a significant gap.

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?

Single sentence is appropriately concise and front-loaded with the core purpose. No wasted words, though it could be slightly more structured for clarity.

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?

For a complex analytics tool with 21 parameters, no annotations, and no output schema, the description is inadequate. It doesn't explain the return format, data granularity, or behavioral constraints, leaving significant gaps for agent understanding.

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 21 parameters thoroughly. The description adds no parameter-specific information beyond implying time-series filtering, which is covered by the schema. Baseline 3 is appropriate when schema does the heavy lifting.

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 states the verb ('Retrieve') and resource ('cache hit latency analytics'), specifying it returns time-series data with total and average latency. It distinguishes from general 'get_latency_analytics' by focusing on cache hits, but doesn't explicitly differentiate from 'get_cache_hit_rate' (a sibling tool).

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 on when to use this tool versus alternatives like 'get_cache_hit_rate' or 'get_latency_analytics'. The description implies it's for cache hit latency analytics but doesn't specify use cases, prerequisites, or exclusions.

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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