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

With no annotations, the description must carry the transparency burden. It discloses it is thin, holds no data inventory, and includes pricing and the BlindOracle envelope. However, it omits side effects, rate limits, error behavior, and introduces a URL concept that conflicts with the 'task' schema, creating confusion.

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, front-loaded with the core purpose, and includes essential operational details (Firecrawl, trust envelope, pricing) without any fluff. Efficient and well-structured.

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 a single vague 'task' parameter and no output schema, the description does not clarify how to supply the URL or what output to expect. The disconnect between description and schema makes correct invocation impossible without external context.

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% for the single 'task' parameter, so baseline is 3. But the description mentions a 'buyer-supplied URL' that is not reflected in the schema, leaving unclear whether 'task' should contain a URL or a query text. This actively undermines parameter semantics.

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 states a specific action ('extraction of main content') on a specific resource (a single buyer-supplied URL) using Firecrawl, and notes it is a thin tool with no data inventory. This clearly distinguishes it from research-heavy siblings like research.topic-deep-researcher.

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?

No explicit guidance is given on when to use this tool versus alternatives. It does not mention exclusions or comparisons to sibling tools, leaving the agent to infer usage from the generic extraction purpose.

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