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Averyy

codex-dobby-mcp

by Averyy

research

Investigate code, documentation, and context in read-only mode to produce structured findings and reports.

Instructions

Investigate code, docs, and context in read-only mode and report findings. Recommended timeout: 20 minutes (1200s).

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
Behavior3/5

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

Without annotations, the description carries the full burden. It states 'read-only mode and report findings', implying no side effects, and recommends a timeout. However, it does not disclose timeouts, error handling, what constitutes a 'report', or how results are structured (output schema exists but not described).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise at two sentences but lacks structure; it frontloads purpose but omits parameter guidance. Every sentence serves a function, yet more detail on parameter usage would improve utility without adding excessive length.

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?

Given 8 parameters (many optional), low schema coverage, and no annotations, the description is incomplete. It does not explain how parameters interact or when to use optional fields, leaving significant gaps for correct invocation. Output schema exists but is not described.

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 only 13% (low); only 'repo_root' has a schema description. The description does not explain the meaning or usage of the other 7 parameters (e.g., 'files', 'model', 'reasoning_effort'), failing to compensate for the low coverage.

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's purpose ('Investigate code, docs, and context in read-only mode and report findings') with a specific verb and resource. It distinguishes from siblings like 'build' or 'review' but does not explicitly differentiate from similar analysis tools like 'brainstorm' or 'reverse_engineer'.

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 a recommended timeout ('20 minutes (1200s)') but offers no guidance on when to use this tool versus alternatives, no when-not-to-use conditions, and no mention of prerequisites or selection criteria among siblings.

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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