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

No annotations are provided, so the description carries the burden of disclosure. It reveals the scope of the output (coverage, corpus size, verification method) and adds useful domain context ('signed, source-bound'). However, it doesn't state the expected response format, whether it is a static text summary, or any limitations.

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 a single, tightly written sentence with front-loaded identification and meaningful specifics. Every phrase earns its place, and there is no filler or repetition.

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 informational tool, the description covers the essential context: what DTA is, its key attributes, and the expected content topics. It lacks an explicit statement of the return shape or a direct 'use this when...' note, but overall it is sufficient for an agent to call the tool correctly.

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 and an empty input schema, so there is nothing for the description to explain. The baseline of 4 is appropriate because no parameter semantics are needed.

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 resource (DTA/dta.mn) and frames the tool as an informational overview covering its coverage, corpus size, and verification. It does not use an explicit action verb like 'returns' or 'describes,' but the intent is unambiguous. It doesn't explicitly distinguish itself from the data-access siblings, though its meta/about nature is evident.

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 this is a starting point for understanding DTA before querying data, but it provides no explicit guidance on when to use this tool versus the sibling tools like search_series or get_datum. There are no stated exclusions or alternative routing conditions.

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