run_hypothesis_driven
Set up a hypothesis-driven analysis for a decision. [Pro]
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| input | Yes | Your problem, decision, project, or question to analyze with this framework. |
Set up a hypothesis-driven analysis for a decision. [Pro]
| Name | Required | Description | Default |
|---|---|---|---|
| input | Yes | Your problem, decision, project, or question to analyze with this framework. |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral burden. It does not disclose whether the operation is read-only, what the analysis returns, how long it takes, or what the '[Pro]' marker implies (presumably a paid tier or access requirement). A single functional sentence leaves the agent with no behavioral context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
One short sentence plus a tier tag, front-loaded with the action and framework. Nothing is padded, though the brevity comes at the cost of substance rather than from efficiency.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a framework-invocation tool with no annotations and no output schema, the description should explain what the analysis produces or how to frame the input. It states only that an analysis is 'set up', leaving the agent unable to predict the result or the '[Pro]' access constraint.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100% and there is only one parameter, so the schema already fully documents 'input'. The description adds a marginal framing word ('for a decision') but no syntax, format, or content guidance beyond the schema. Baseline 3 is appropriate when the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb ('Set up') and resource ('hypothesis-driven analysis for a decision'), so the agent knows the kind of output to expect. However, it offers no differentiation from the many sibling framework tools (run_mece_issue_tree, run_pyramid_principle, run_second_order_thinking), leaving the agent to infer the boundary from the name alone.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no when-to-use guidance, no statement of exclusions, and no reference to any alternative sibling tool. The agent is given no criteria for choosing this framework over the other seventeen analysis frameworks available.
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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