get_version

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

With no annotations provided, the description carries the full behavioral burden and does reasonably well: it discloses the notable guarantee that a payload is always returned even on connection failure, and that errors surface in an 'error' field rather than as a thrown failure. It omits side-effect/auth context, but for a pure version probe that is a minor gap.

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

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

The purpose and the probe rationale are front-loaded in the first two sentences, which is good structure. The final enumeration of return fields is partly redundant against the existing output schema, costing a little conciseness.

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

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

An output schema exists, so the description need not explain return values — and its field list is therefore surplus rather than a gap. What an agent needs (what it returns, and that it always succeeds) is present, though no auth or rate-limit context is given.

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

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

There are zero parameters, so the baseline is 4. The description correctly implies no inputs are needed and adds nothing misleading about parameters.

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

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

States a specific verb and resource ('Return the server version and Python↔Ruby compatibility verdict') and names the exact verdict it produces, which no sibling tool does. An agent can distinguish it from get_model_info, get_component_info, and get_selection purely from the description.

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

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

Gives a clear usage context — 'useful as a runtime sanity probe' — and explains why it is preferable when other calls fail. It does not name an alternative tool or state when not to use it, but the context is explicit enough to route the call correctly.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.