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

Annotations already establish readOnly, idempotent, closed-world, non-destructive, so the safety profile is covered. The description still adds real behavioral value by disclosing the no-argument enumeration mode and that the argument accepts partial title words rather than exact slugs, which is not derivable from the annotations. It stops short of describing error behavior for unmatched trackers or the shape of returned tables.

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: the capability and domain list come first, the discovery shortcut second. Front-loaded and appropriately sized for a single-parameter read tool.

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 low-complexity, single-optional-parameter read tool with full annotation coverage and no output schema, the description plus schema gives an agent everything needed to call it correctly, including the parameterless listing path.

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?

Schema coverage is 100% and the schema already states the parameter is a slug or a few words of the title with an example. The description only implicitly reinforces that the parameter is optional via the no-argument listing mode, adding little beyond structured data. Baseline 3 applies when the schema carries the load.

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 names a specific verb ('Get') and a specific resource ('structured data tables from a Digital in Asia market tracker'), and enumerates the covered domains (payments, LLM benchmarks, gaming, ecommerce, AI policy, market size). That is far more informative than the title alone, though it never contrasts itself with siblings such as get_report_summary or list_reports, so an agent must infer the boundary.

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?

'Call with no arguments to list trackers' is a genuine usage rule that tells the agent how to discover valid inputs before calling with a slug. However, there is no guidance on when to choose this over get_report_summary, list_reports, or search_dia, and no exclusions are stated.

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