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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and a closed world, so the safety profile is covered. The description adds real value by classifying the content (calculation rules and limitations) and explicitly denying that it produces a forecast or guaranteed price. It does not address what happens when 'version' is omitted or whether versions expire, which would be the remaining behavioral 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?

Two sentences, zero filler, and the positive statement of purpose is front-loaded while the disclaimer follows. Every clause earns its place.

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 return structure need not be described, and annotations cover the safety profile. The remaining gap is the optional 'version' parameter's default behavior on omission, which is undocumented in both schema and description for a tool whose whole purpose is versioned retrieval.

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?

The single 'version' parameter has 0% schema description coverage, so the description carries the burden. It references the 'requested published methodology version', loosely tying the parameter to the concept, but never states what happens when version is omitted (it is optional) or what valid identifiers look like. Partial compensation, not full.

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?

The description gives a concrete verb and resource ('Returns the requested published methodology version') and enumerates the payload ('exact calculation rules and limitations'), so the agent knows what it retrieves. It also draws a boundary against forecast/appraisal outputs. It stops short of naming which sibling to use instead, so sibling differentiation is only partial.

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?

Usage is implied rather than stated: an agent can infer this is the tool for understanding how prices are calculated, and the negative scoping ('does not create a forecast, appraisal, or guaranteed selling price') usefully rules out a common misreading. However, there is no explicit when-to-use guidance relative to get_latest_prices, get_market_report, or get_data_coverage.

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