fahali_get_market_snapshot

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

With no annotations provided, the description carries the full burden. It discloses default limit, compact mode behavior, and public data status. However, it omits details like error handling, data freshness (real-time vs delayed), or sorting direction, leaving gaps for the agent.

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 three sentences, 35 words, with the key purpose in the first sentence. No filler or repetition. Every sentence adds distinct information, making it efficient for an agent to parse.

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 absence of an output schema, the description covers the main return fields (prices, changes, etc.), default limit, and compact mode. It does not explain sorting/filtering behavior or response format, but for a simple list tool this is largely sufficient.

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 description coverage is 100%, baseline is 3. The description adds minimal extra value: it restates the default limit and simplifies compact mode output, but does not address sort_by or asset_class beyond what the schema already provides. Minor redundancy detected.

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 retrieves a live market snapshot with detailed fields (prices, changes, asset class, venue, underlying). However, it does not explicitly differentiate from sibling tools like fahali_get_market_sentiment, leaving the agent to infer use cases from context.

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?

No guidance is provided on when to use this tool versus other market-data siblings. The mention of 'public data — no tier required' is a constraint, not a usage condition. Alternatives are not named, and there is no when-not-to-use advice.

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