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Averyy

codex-dobby-mcp

by Averyy

brainstorm

Evaluate an idea, scope an MVP, and receive a recommendation on whether to build it.

Instructions

Evaluate an idea, scope an MVP, and recommend whether it is worth building. Recommended timeout: 10 minutes (600s).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filesNo
modelNo
promptYes
repo_rootYesAbsolute path to the target git worktree. Always pass the caller's active repository root; Dobby deliberately has no implicit repo fallback.
extra_rootsNo
timeout_secondsNo
reasoning_effortNo
important_contextNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
toolYes
modelYes
statusYes
summaryYes
task_idYes
warningsNo
exit_codeNo
repo_rootYes
file_diffsNo
next_stepsNo
duration_msNo
stop_reasonNo
completenessYes
result_stateNofinal
files_changedNo
artifact_pathsYes
review_detailsNo
important_factsNo
reasoning_effortYes
sandbox_violationsNo
raw_output_availableNo
reverse_engineer_detailsNo
Behavior2/5

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

With no annotations, the description carries full burden for behavioral traits. It only mentions a recommended timeout, lacking information on side effects, authorization needs, rate limits, or internal operations (e.g., external API calls). Minimal transparency.

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 very concise (two sentences) and front-loaded with the primary purpose. However, it could include essential parameter hints without becoming verbose, so it slightly underperforms on completeness for the conciseness trade-off.

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?

Despite having 8 parameters and an output schema, the description does not explain what the outputs look like or how to use optional parameters. Leaves significant gaps for an agent to infer proper usage, especially given the lack of schema descriptions.

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

Parameters2/5

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

Schema description coverage is low (13%), so the description must compensate. However, it adds no parameter-level details beyond the recommended timeout. Parameters like 'files', 'model', 'reasoning_effort' remain unexplained, leaving the agent without guidance on usage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states the tool evaluates an idea, scopes an MVP, and recommends whether to build. The verb 'evaluate' and resources 'idea' and 'MVP' provide specific purpose. Implicitly distinguishes from sibling tools like 'plan' and 'research' by focusing on evaluation and recommendation.

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 guidance on when to use this tool versus siblings. Does not mention prerequisites, suitable idea types, or when to avoid. Only provides a recommended timeout, which is a parameter hint, not usage context.

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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