get_regional_market_guide

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

No annotations are supplied, so the description must carry the behavioral burden. It does disclose the content scope and that the data is "live," implying current rather than historical figures, which is useful beyond structured fields. However, it says nothing about read-only safety profile, data freshness/source, rate limits, or response size, so gaps remain for an unannotated 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?

One front-loaded sentence with the verb and scope first, then the payload list. It is dense but every clause names real returned content. The parenthetical roll-call of all 12 markets is long but earns its place as a matching aid for an agent deciding whether its query is covered.

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, the description does the necessary work of enumerating the returned fields, and it clarifies the optional-parameter behavior in tandem with the schema. For a single-optional-parameter read tool this is close to complete; only freshness/source and response-shape hints are absent.

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%: the single optional parameter already documents slug, city, or state-code formats with examples and states that omitting it lists all 12 markets. The description adds no syntax or filtering nuance beyond that, so the baseline 3 applies.

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 opens with a specific verb and resource ("Retrieve ... structures ... across the 12 largest US live poker markets") and enumerates the exact data returned: room counts, rake/drop/time-collection, buy-in caps, flagship venues, strategic adjustments. An agent knows precisely what this tool produces. It does not name a sibling to distinguish itself from, e.g. get_venue_details or search_poker_venues, so it stops short of 5.

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 implied rather than stated: the enumeration of 12 named markets, plus the schema note "Omit to list all 12 regional market guides," tells the agent this is a regional-overview lookup. There is no explicit when-to-use vs when-not, and no pointer to the venue-level or search siblings for narrower queries, so guidance is only inferable.

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