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local_ydb_check_prerequisites

Idempotent

Check target-host prerequisites (Docker CLI/daemon, curl, ruby, rootPasswordFile) and return plan; confirm=true installs only supported curl/ruby packages, never Docker.

Instructions

Check target-host prerequisites for the Docker CLI and daemon, curl, ruby, and the configured rootPasswordFile when present. An unreachable SSH target returns unavailable=[target] without claiming tools are missing or proposing installation. Without confirm=true it returns the current snapshot and any apt-get plan; confirm=true may install only supported curl/ruby packages, then returns a refreshed post-install snapshot, and never starts or installs Docker.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
confirmNoMust be true to execute planned commands. Omit or false for plan-only output.
profileNoNamed profile from local-ydb.config.json. Defaults to config.defaultProfile.
configPathNoExplicit local-ydb config file path to load for this tool call. Useful when the MCP server should pick up a different config without restart.
Behavior5/5

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

Besides annotations (idempotent, not destructive), the description discloses key behaviors: unreachable SSH targets return 'unavailable' without false missing-tool claims, confirm=true may install only curl/ruby packages, and Docker is never started or installed. This goes beyond the annotation hints.

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 compact, front-loaded with the core purpose, and uses three sentences to convey purpose, failure behavior, and confirm modes. No redundant phrases; every sentence adds meaningful information.

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?

For a check tool with install potential, the description covers main scenario, edge case (unreachable host), plan vs execute modes, and explicit non-actions (no Docker installation). No output schema exists, but the return snapshot is described adequately as 'current snapshot' and 'refreshed post-install snapshot'.

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?

Input schema already covers all three parameters with descriptions (100% coverage). The description does not add new syntax or format details but reinforces confirm's install effect. Baseline of 3 is appropriate when schema is self-sufficient.

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?

The description clearly states a specific verb ('Check') and resource ('target-host prerequisites'), enumerating exact items (Docker CLI/daemon, curl, ruby, rootPasswordFile). This distinguishes it from sibling check tools like local_ydb_nodes_check or local_ydb_auth_check.

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?

The description provides clear context for when to use this tool (to assess target-host readiness) and explains the confirm flag's plan-vs-execute behavior. It doesn't explicitly mention alternatives or exclusions, but the context is sufficient in a set of prerequisite-focused tools.

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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