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dispersl_testing_agent

Generate end-to-end tests from a prompt using agentic execution, turning test requirements into automated test suites.

Instructions

Generate end to end tests based on a prompt using agentic execution

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
mcpNo
modelNo
promptYes
contextNo
task_idNo
knowledgeNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.1

TDQS

C2.6/5.0
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavior. It mentions 'agentic execution' but doesn't explain what the agent does step-by-step, whether it writes files or returns code, permission requirements, or expected output.

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 a single, front-loaded sentence with zero waste. It is appropriately concise, though its brevity contributes to other gaps.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with six parameters, nested objects, no annotations, and no output schema, the description is far too thin. It doesn't explain return values, how the agentic execution works, or how to use the optional parameters.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description only references the 'prompt' parameter without adding meaning. The other five parameters (mcp, model, context, task_id, knowledge) are undocumented in both schema and description.

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 states a specific verb ('Generate') and resource ('end to end tests'), plus the condition 'based on a prompt'. It does not explicitly differentiate from sibling agent tools (e.g., dispersl_code_agent, dispersl_plan_agent), so it is clear but not fully sibling-aware.

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 explicit when-to-use guidance or alternatives are provided. The purpose implies you'd use it for generating E2E tests, but it doesn't state prerequisites or contrast with other agent tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.