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

Annotations already declare readOnlyHint/openWorldHint/idempotentHint/destructiveHint, but the description adds substantial behavior: the daily generation pipeline, that the machine feed returns ALL severities, that Critical is only stored when the fact is verifiably ≤7 days old, that provenance and novelty dating are attached, and that sources are public-only with no insider data.

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 purpose is front-loaded, but the body is an extremely long, densely packed run-on (a single ~200-word sentence enumerating impact/impact_assessment/related/novelty). Most content is valuable, yet the jargon-heavy enumeration and 'No pure-news source does this'/'UNIQUELY' framing exceed what an agent needs to select and invoke the 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?

With no output schema, the description compensates fully by describing the returned record structure, the impact-assessment status taxonomy, the novelty verdicts, and the filter set. Nothing an agent needs to call it correctly or interpret results is missing.

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 0%, so the description carries the full burden — and it does: it names all five filters (severity, category, since as ISO timestamp, publishedOnly bool, limit 1-100 default 25) and explains their meaning (e.g. the severity enum and 'published flags the Critical/High briefs that also have a public page').

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?

Opens with a specific verb+resource and scope: 'the freshest SOURCED semiconductor market briefs, generated daily from a Tavily + Claude scan.' It also enumerates the exact returned fields (severity, confidence_score, entities, impact, novelty), which clearly differentiates it from siblings like get_market_pulse and get_market_dataset.

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?

Contains explicit 'USE THIS for' examples and a 'DO NOT USE for' block that names three alternatives (get_accelerator_costs / get_wafer_pricing / calculate_chip_cost, get_recent_changes, get_foundry_allocation) with the condition selecting each. This is textbook routing guidance.

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