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

Annotations already declare readOnlyHint=true and idempotentHint=true. The description adds meaningful context: it returns top-N tools with full input schemas and curated examples, and each result is ready to call directly without a second schema lookup. This goes beyond the annotations and informs the agent about the output format and efficiency.

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 a single paragraph that is fairly concise and front-loaded with the core action. It efficiently conveys purpose, usage, and return value. However, it could be more structured (e.g., bullet points) for readability. No wasted sentences.

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 low complexity and good annotations, the description covers all necessary aspects: purpose, usage, return format, and readiness for direct invocation. No output schema is needed because the description explains what is returned. The tool is simple, and the description is complete for an agent to understand its role.

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%, so the baseline is 3. The description mentions that 'query' accepts natural language and gives examples (e.g., 'look up FDA drug approvals'), which adds some semantic value. However, the schema already includes descriptions like 'Natural language description of what you want to do'. The description does not significantly enhance understanding beyond the schema.

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: to find tools by describing a data or task. It lists numerous specific domains (SEC filings, financials, etc.) and specifies that it returns top-N relevant tools with names, descriptions, and full input schemas. This distinguishes it from sibling tools like search_within or ask_pipeworx, which serve different functions.

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 explicitly advises to call this tool FIRST when you have many tools and want to see the option set, rather than just getting one answer. It also lists use cases (browse, search, look up, discover). However, it does not explicitly state when not to use it, e.g., if the agent already knows which tool to invoke.

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