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

Annotations already declare readOnly/idempotent/non-destructive/open-world, so the safety profile is covered. The description adds genuine context beyond that: the upstream data source, the exact default projection (closing-only odds, 50-match cap), and the explicit trade-off between verbosity and limit, which helps an agent predict payload size before calling.

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?

Three dense sentences that front-load the resource and source before the configuration guidance, with no filler. Slightly packed with parenthetical detail, but every clause carries actionable information.

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?

For a 7-parameter tool with no output schema, the description supplies what an agent needs: data source, market coverage, default response shape and how to widen it, plus filter options. It does not describe the per-match fields returned (result columns, odds columns), which is the main residual gap without an output schema.

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%, so each of the 7 parameters is already documented in the schema, including the bookmakers default behavior. The description restates the bookmakers/limit semantics rather than adding new detail, so baseline 3 applies — it is consistent and reinforcing but not additive.

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 resource (historical football match results plus three named odds markets) and a precise source and scope ('one league + season'), so an agent knows exactly what data this returns. It does not differentiate itself from overlapping siblings such as team_results or bet_research, which keeps it short of a 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?

Gives clear operational guidance: the compact default (closing lines from Pinnacle/Bet365/market avg+max, up to 50 matches) and how to expand it via bookmakers:"all" or a higher limit. It also flags optional team/date filters. It stops short of saying when to prefer this over sibling tools or when not to use it.

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