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Verify an agentic-os install

run_doctor
Read-onlyIdempotent

Audits an agentic-os install in a target repository by running file inspection checks and returning commands for the user to execute to complete the audit.

Instructions

Audits an agentic-os install in a target repo you name. Runs the checks that are pure file inspection natively and returns a verdict for each; the three checks that need executing Python (hook compile+import, canned-event dry-runs, HITL smoke) come back as exact commands in host_must_run for you to run yourself — this server never executes code from a target repository, and two of those three commands sets (dry_runs, hitl_smoke) write and then delete a probe file under .agentic/agents/ in the target repo when you run them (see each entry's why). verdict is "passed" only when every native check passed AND host_must_run is empty; it is "incomplete", never "passed", while host_must_run still has entries — which is every install this server finds, since host_must_run is never empty on a single server-side call. This server alone therefore never returns "passed"; that verdict is only reachable once the host has run the returned commands and folded the result back in.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
target_pathYesFilesystem path to the repository to audit — an absolute path, or one resolvable from the host process's working directory. Must already exist and be a directory; this server never creates one.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
checksYesEvery native (pure file inspection) check this server ran, including "dependencies" — a permanent, structural placeholder that always reports passed: false because verifying installed plugin sources requires ~/.claude/plugins/installed_plugins.json, a path outside the target repo this server cannot read. It is always reported here for visibility, but it is excluded from both the verdict decision and failures below: it reflects what this server cannot check, not a defect in the target repo.
verdictYes"failed": at least one check other than "dependencies" reported passed: false — a real, native-verifiable problem exists in the target repo. "incomplete": every other native check passed, but host_must_run still has entries the host has not run and folded back in yet — this is the expected, correct result of a server-side-only call, not an error. "passed": every native check passed AND host_must_run is empty — this requires the host to have already run the host_must_run commands from a prior call and re-invoked run_doctor after resolving them (or otherwise established there is nothing left to run); this server alone, in a single call, never returns "passed" — a fresh install-found call always has all three host_must_run entries pending.
failuresYes"key: detail" for every entry in checks with passed: false, EXCLUDING "dependencies" — which always reports passed: false but is not a real failure (see checks' description above). An empty failures array means every check this server can actually verify came back clean; it does not by itself mean verdict is "passed" — host_must_run may still have entries outstanding.
installedYesWhether .agentic/agentic-os/install.json exists at target_path and parses as JSON. false means none of the checks below ran — checks will contain the single not-installed sentinel instead.
host_must_runYesCommand sets for the three checks that require executing Python (hook compile+import, canned-event dry-runs, HITL smoke). Empty when installed is false (nothing to check yet). Non-empty entries here are why verdict can be "incomplete" even when every entry in checks passed.
Behavior5/5

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

Explicitly states server never executes code from target repo, server alone never returns 'passed', and two host-run commands write/delete probe files. Aligns with annotations (readOnlyHint, idempotentHint, destructiveHint) and provides critical behavioral details beyond annotations.

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?

Front-loaded with main action and key caveat about host execution. Dense but each sentence adds value. Could be slightly more concise, but structure is logical and complete.

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

Completeness5/5

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

Given tool complexity (multi-step verification, verdict logic, host commands), description covers all necessary nuances. Output schema existence further reduces burden. Complete and self-contained.

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

Parameters3/5

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

Single parameter (target_path) with 100% schema coverage. Description adds context about 'target repo' but does not significantly enhance schema's description. Baseline score of 3 is appropriate.

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 it audits an agentic-os install in a target repo, using specific verb and resource. Distinguishes from sibling tools like get_document or search_methodology, which serve different purposes.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Describes the workflow: server runs native checks, returns commands for host execution. Implies usage for verification but lacks explicit 'use this when' guidance or alternatives. However, context is clear enough for an agent.

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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