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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does well by noting that data is cert-verified, limited to open-market circulation, and committed on-chain daily. These details convey important timing and trust characteristics beyond the tool name.

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 compact and front-loaded, with the core census concept in the first clause. The second sentence adds meaningful update-cadence information. Minor jargon like 'pressing on price' slightly reduces clarity, but the overall length is appropriate.

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 parameterless tool with an output schema, the description covers the essential context: what is being counted, which grading companies are included, the market scope, and the update frequency. It does not discuss auth or rate limits, but no annotations suggest those are critical for this read-style tool.

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 tool has zero parameters, so the description does not need to explain argument semantics. The input schema is empty and fully covered, and the description reinforces that this is a simple no-input query. This matches the baseline for parameterless tools.

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 clearly identifies the tool's purpose: returning open-market census totals for PSA/BGS/CGC/TAG slabs tracked by the oracle. It also draws an explicit distinction from a population report, which helps avoid misinterpretation. However, it does not directly differentiate from any sibling tool by name, so a small gap remains.

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 implies when this tool is relevant—when you need market census totals rather than a population report—but it does not explicitly state conditions or point to alternatives. The 'NOT a pop report' phrase serves as a partial exclusion, but there is no direct guidance selecting this over related tools like get_market_snapshot or get_oracle_scorecard.

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