fahali_get_market_sentiment

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

With no annotations, the description carries the full burden. It clearly states return fields (sentiment score, confidence, direction, source, news count) and that data is public. Does not mention rate limits, caching, or freshness, but covers essential behavioral aspects for a read-only 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?

Two sentences, no redundancy, front-loads the main action and then enumerates return fields and extra context. Every word is informative.

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 no output schema, the description adequately describes return values and key context (engines, public access). Slight omission: no mention of default limit value, but overall complete for a simple list 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 already covers 100% of parameters with descriptions. The description adds context by explaining the symbol filter's effect (aggregate vs specific) and the engines involved. However, it doesn't state the default limit value (20) which is in 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?

Clearly states 'Get market sentiment history from news and detection signals' with specific verb and resource. Mentions optional symbol filter and two engines (momentum, volume_anomaly), distinguishing it from sibling tools like fahali_get_market_snapshot or fahali_get_market_regime.

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?

Indicates optional symbol filter and public access, and identifies the specific engines covered, implying when to use for sentiment from these sources. However, no explicit guidance on when to choose this tool over other sentiment-related tools or what alternatives exist.

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