Newest Market Trackers rows

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

With no annotations, the description carries the behavioral burden. It discloses that only the latest daily publish is returned rather than full history, that selection can be narrowed by ticker/text, and that patents are unsupported. It does not explicitly state output shape or read-only behavior, but the wording makes the read-only nature clear.

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?

Three sentences with no filler: the core scoping fact is front-loaded, followed by concrete examples and an explicit exclusion/alternative. Every sentence 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?

For a read-only list tool with a fully documented input schema, the description covers what the tool returns, when to use it, and when not to use it. It leaves output shape unspecified, but with no output schema and rich parameter documentation this is a modest gap rather than a critical one.

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 description coverage is 100%, so every parameter is already documented. The description adds a small amount of guidance by highlighting ticker/text narrowing, but otherwise does not meaningfully extend the schema's parameter documentation.

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 precisely defines what the tool returns: the newest ingestion day's rows from latest.json for one dataset, optionally filtered by ticker or text. It distinguishes itself from sibling trackers_query by explicitly naming where that alternative applies (patents).

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?

It gives concrete use cases ('today's insider filings, this week's congressional disclosures, the latest lobbying registrations') and an explicit when-not condition: not available for patents, with the instruction to use trackers_query there. This directly routes the agent to the correct sibling.

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