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mimic_tool

Generate realistic OpenTelemetry signals mimicking common tools like nginx, postgres, or AWS Lambda for testing and demonstration purposes.

Instructions

Emit a realistic bundle of signals mimicking a known tool.

Args: profile: One of nginx, postgres, redis, kafka, aws-lambda, k8s-pod, grpc. Call list_mimic_profiles for profile-specific parameters. endpoints: Fan-out target endpoints. Defaults to all registered. options: Keyword args passed to the profile (e.g. {"count": 50}).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
profileYes
endpointsNo
optionsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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 'emit signals' but doesn't disclose behavioral traits like whether this is read-only or destructive, authentication needs, rate limits, or what 'realistic bundle' entails. The description is minimal and lacks crucial operational context for a tool that generates data.

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 appropriately sized and front-loaded: a clear purpose statement followed by structured parameter explanations. Every sentence earns its place, with no wasted words. The Args section is well-organized and efficient.

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?

Given 3 parameters with 0% schema coverage and no annotations, the description does well on parameters but lacks behavioral context. The existence of an output schema means return values needn't be explained, but for a data-generation tool with siblings, more guidance on when to use it would improve completeness.

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?

With 0% schema description coverage, the description must compensate. It provides meaningful semantics for all 3 parameters: 'profile' with specific examples and a reference to another tool, 'endpoints' as fan-out targets with default behavior, and 'options' as keyword args with an example. This adds substantial value beyond the bare schema.

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 tool's purpose: 'Emit a realistic bundle of signals mimicking a known tool.' It specifies the action (emit signals) and resource (mimicking known tools), but doesn't explicitly differentiate from siblings like 'generate_load' or 'send_log' which might have overlapping functionality.

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

Usage Guidelines3/5

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

The description implies usage by listing profile options and referencing 'list_mimic_profiles' for details, but doesn't explicitly state when to use this tool versus alternatives like 'generate_load' or the various 'send_*' tools. It provides some context but lacks clear when/when-not guidance.

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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