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

With no annotations provided, the description fully carries the burden. It discloses cost per call, the exact fields returned, optional filters, ordering by created_at DESC, proprietary computation, the educational/non-advice disclaimer, and two payment/auth methods (x402 or subscriber API key). This is exceptionally transparent for a read-only feed.

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 long but every sentence provides necessary value: data content, filters, ordering, pricing, authentication, and a pointer to get_catalog. It is front-loaded with the core purpose and structured logically.

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 (paid API, auth, filters), the description covers pricing, payment methods, parameter semantics, output fields, ordering, and disclaimers. No output schema exists, so listing the expected fields is sufficient. It even directs users to a catalog for full 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?

The schema has no descriptions (0% coverage), but the description explains both parameters precisely: symbol as an optional LIKE filter and limit with a default of 25 and cap of 50. This adds critical meaning beyond the raw schema types and defaults.

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 returns a multi-source confluence signals feed from the live apex_signals table, listing specific fields (symbol, direction, score, entry price, timeframe, momentum_surge flag). It distinguishes itself from sibling tools by naming the APEX v10.2 feed and proprietary News Guru computation.

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?

It tells the agent to browse all tools and prices with the free get_catalog tool and describes the specific data source/table, which implies when this tool is relevant. However, it does not explicitly name alternative signal tools or state when not to use this one.

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