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run_tests_verbose

Execute all tests with detailed output to identify issues in log analysis workflows, providing comprehensive debugging information for the Log Analyzer MCP server.

Instructions

Run all tests with verbose output (verbosity level 1).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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 the full burden of behavioral disclosure. It mentions 'Run all tests' but doesn't clarify what 'all tests' entails (e.g., unit, integration, or specific test suites), whether it's a read-only or destructive operation, or any performance implications like execution time or resource usage. This leaves significant gaps in understanding the tool's behavior.

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 and front-loaded, consisting of a single sentence that directly states the tool's purpose without any unnecessary words. Every part of the sentence ('Run all tests with verbose output (verbosity level 1)') contributes essential information, making it efficient and well-structured.

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 the tool has 0 parameters, 100% schema coverage, and an output schema exists, the description is minimally adequate. However, it lacks details on behavioral aspects like what 'all tests' includes or execution context, which could be important for an agent. With no annotations and a simple operation, the description meets basic needs but doesn't provide full context.

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?

The input schema has 0 parameters with 100% coverage, meaning no parameters are documented in the schema. The description doesn't add parameter details, but since there are no parameters, this is acceptable. A baseline of 4 is appropriate as the description doesn't need to compensate for missing parameter information.

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 action ('Run all tests') and specifies the verbosity level ('with verbose output (verbosity level 1)'), making the purpose immediately understandable. However, it doesn't explicitly distinguish this tool from its siblings like 'run_tests_no_verbosity' or 'run_tests_very_verbose' beyond the verbosity level, which prevents a perfect score.

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. It doesn't mention when to choose this over 'run_tests_no_verbosity' or 'run_tests_very_verbose', nor does it specify any prerequisites or contexts for usage. This lack of comparative guidance leaves the agent without clear direction.

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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