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create-rum-retention-filter

Create a RUM retention filter by specifying event type, sample rate, and query to control which user sessions or actions are retained.

Instructions

Create a RUM retention filter with event type, sample rate, and query

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesName of the retention filter. Example: Keep all errors
appIdYesRUM application ID
queryNoRUM search query to filter events. Example: @error.source:network
enabledNoWhether the filter is enabled. Default: true
eventTypeYesRUM event type to filter on. Example: error
sampleRateYesSample rate between 0 and 100. Example: 100
Behavior2/5

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

With no annotations, the description must convey behavioral traits, but it only states 'Create' without any details on side effects (e.g., whether creation is immediate, requires specific permissions, or affects existing filters). The lack of context about the mutation's impact is a significant gap for a creation tool.

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, concise sentence that immediately conveys the tool's purpose. It is front-loaded and avoids unnecessary words. However, it may be too brief for a creation tool with multiple parameters, balancing conciseness with minor under-specification.

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?

Given 6 parameters and no output schema, the description is insufficient. It does not explain return values (e.g., filter ID or confirmation), required fields beyond the schema, or any post-creation behavior. The tool's purpose is stated but not fleshed out enough for the agent to use it confidently.

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% with adequate descriptions for all 6 parameters, so the baseline is 3. The description adds a partial listing of key fields but does not provide additional meaning beyond what the schema already offers, meeting but not exceeding the baseline.

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 'Create a RUM retention filter' with a specific verb and resource, and lists key parameters (event type, sample rate, query), which distinguishes it from sibling tools like update-rum-retention-filter or create-rum-metric. However, it does not explain what a retention filter does, which slightly reduces clarity.

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 provides no guidance on when to use this tool versus alternatives (e.g., create-rum-metric or updating a filter). There is no mention of prerequisites, context for use, or exclusions, leaving the agent without decision support.

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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