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

Annotations already indicate read-only, open-world, and idempotent behavior. The description adds transparency about routing across 5,907 tools/1,540 sources, returning citations, and being a fast default option. Nothing contradicts the annotations.

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 well-structured with clear guidance and examples, but it is somewhat repetitive (e.g., restating 'current' and multiple phrasings of the same preference). It earns most of its sentences, though a tighter version would be stronger.

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?

The description provides enough context for an agent to know what the tool returns, when to use it, and how it differs from siblings. However, it does not specify output format details and includes a slightly convoluted breaking-news clause, leaving minor room for ambiguity.

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 schema fully documents all six parameters and notes alias behavior for the question field. The description itself does not add much beyond the schema, but the schema coverage is complete, so the baseline of 3 is appropriate.

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 states the tool's purpose: answer factual questions by routing to a large set of verified data sources and returning structured answers with citations. It explicitly distinguishes itself from siblings like ask_pipeworx_grounded and deep_research.

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 gives explicit when-to-use guidance: prefer over web search for factual/current-data questions, and provides concrete alternatives for when to step up to grounded mode or deep research. It also addresses breaking-news cases.

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