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

With no annotations, the description carries the full burden and does well: it discloses per-call cost ($0.005), the x402/USDC payment path and API-key auth alternatives, a per-call ceiling ('up to 25 ideas'), and a disclaimer. It omits pagination/return-shape detail, but cost and auth disclosure is strong for an unannotated paid tool.

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?

Front-loads cost and purpose, then payment mechanics, then the catalog pointer. The payment block is verbose but genuinely required to invoke a paid tool successfully, so most sentences earn their place.

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 no output schema or annotations, the description supplies the return contents (ideas, primary_scoops, spaces), the cost, and the auth paths an agent needs to call correctly. Remaining gaps (pagination, exact limit semantics) are minor for a simple two-parameter read tool.

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 0%, so the description must compensate for both parameters. It explains that 'symbol' is an optional filter and hints that 'limit' caps at 25 ideas, but it never states the default (10) or that limit is the parameter name, leaving the integer parameter only loosely described.

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?

States a specific verb and resource ('most recent cross-agent market intelligence ideas') and enumerates the content types it aggregates (institutional flow, options flow, on-chain, news catalysts). It does not explicitly differentiate itself from close siblings like get_signals, get_narratives, or get_primary_scoops, though it notes it also surfaces primary_scoops and spaces.

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?

Usage is only implied ('most recent' intel, optional symbol filter). It points to get_catalog but that is a pricing/discovery helper, not an alternative for the same purpose, and it never says when to prefer this over get_signals, get_narratives, or get_primary_scoops. No explicit when/when-not guidance.

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