SimpleFunctions

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

No annotations provided, so description carries full burden. It successfully discloses side effects ('Side-effectful'), external dependencies ('calls Firecrawl + LLM'), and cost implications ('billed'). Minor deduction for not mentioning error handling behavior or rate limits, but strong coverage of operational impact.

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 efficient sentences: first defines the pipeline capabilities, second covers side effects and auth, third provides usage guidance. Front-loaded with the most important information (what it does), zero redundancy, no filler words.

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?

Given the tool's complexity (multi-step pipeline with branching optional logic, nested parameters, external API calls), the description adequately covers the ingestion flow and mentions 'return the bundle' despite no output schema existing. Minor gap in not describing bundle contents, but sufficient for agent invocation decisions.

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%, establishing baseline 3. Description adds value by framing parameters as an optional pipeline workflow ('optionally analyze', 'optionally cross-reference'), clarifying that analysis and enrich steps can be omitted, and mapping technical schema fields to business functions (LLM analysis, market cross-reference).

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?

Description uses specific verbs (scrape, crawl, search, extract, analyze, cross-reference) to define the end-to-end pipeline. It clearly identifies the resources acted upon (URLs, content, prediction markets) and distinguishes from sibling 'enrich_content' by specifying this tool is for URL ingestion vs. pre-existing text.

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?

Explicitly states when to use ('scheduled or one-shot URL ingestion') and provides a clear alternative ('use enrich_content if you already have the text in hand'). Also notes the prerequisite ('Requires SF API key'), giving agents complete guidance on tool selection.

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