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Averyy

codex-dobby-mcp

by Averyy

build

Implement a code change, run focused verification, and report results.

Instructions

Implement a change, run focused verification, and report results. Recommended timeout: 20 minutes (1200s).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filesNo
modelNo
dangerNo
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?

Without annotations, the description carries the full burden. It hints at potentially destructive behavior ('implement a change') but does not detail safety, reversibility, permissions, or verification scope.

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 two sentences, front-loaded with the essential purpose. Every sentence adds value with zero waste.

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?

With 9 parameters (many optional), an existing output schema, and no annotation support, the description is far too sparse to guide correct invocation. It omits critical context about parameters, return values, and side effects.

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 only 11%, and the tool description adds no parameter meaning. The sole schema description for 'repo_root' is helpful, but the description itself ignores all 9 parameters.

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 implements a change, runs verification, and reports results. It provides a specific verb-resource combination but does not differentiate from sibling tools like 'review' or 'validate'.

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?

Only a recommended timeout is provided. No guidance on when to use this tool versus alternatives (e.g., brainstorm, plan, review). No context about prerequisites or exclusions.

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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