market_volume

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

With no annotations provided, the description carries the full behavioral burden. It discloses meaningful traits: one logical GET, no continuation-page auto-fetch, 100-row/256 KiB local array limits, truncation reporting in text and metadata, and refusal of oversized records without partial fields. This is strong transparency, though it does not cover authentication, rate limits, or exact error behavior.

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 description is front-loaded with purpose and then delivers dense, useful behavioral caveats. It is somewhat long and contains generic boilerplate about required inputs and filters, but nearly every sentence contributes operational information that an agent would need.

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?

For a zero-parameter, no-output-schema endpoint, the description is reasonably complete: it states the data domain, clarifies it is aggregate rather than player-specific, and explains pagination and truncation behavior. It could be more complete by describing the response envelope shape, but the main operational concerns are covered.

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 input schema has zero parameters, so the schema needs no additional explanation, and the 0-param baseline is 4. The description does add cautionary notes about required inputs and declared filters being forwarded as supplied, though those notes feel slightly inconsistent with an empty, additionalProperties-false schema.

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 opens with a specific verb and resource: 'Read the upstream market transaction, USD volume and current rental aggregate figures.' It clearly conveys aggregate market scope and explicitly says it is 'not an individual player's history,' but it does not differentiate from relevant sibling tools like market_history or market_rental_history.

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?

The description gives a clear sense of what the endpoint is for and notes that it is a single logical GET with no auto-fetching of continuation pages, which helps set expectations. However, it never explicitly states when to choose this tool over sibling market tools or when not to use it, so usage guidance is implied rather than direct.

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