list_providers
The bookmakers covered and when each was last collected.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
The bookmakers covered and when each was last collected.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full disclosure burden. It does useful work by revealing the return contents (provider list plus last-collected timestamp, which signals data freshness), but it says nothing about ordering, pagination, or whether this is a pure read of a static roster.
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?
A single clause with no filler, and the resource identity leads. It is a noun phrase rather than a sentence, which costs it a point, but nothing unnecessary is present.
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 zero-parameter, no-output-schema tool, the description should explain what a returned entry looks like; it gestures at this (bookmaker + last collected) but leaves the shape and any staleness caveats implicit. Adequate but thin given nothing else documents the response.
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?
The tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline of 4 applies. The description correctly implies no filtering input is needed.
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 names the resource concretely: bookmakers covered, plus the per-entry last-collected timestamp. Combined with the list_providers name, an agent knows exactly what comes back, and the sibling tools (games, competitions, discrepancies) cover visibly different resources, so no explicit differentiation is needed.
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?
There is no statement of when to call this versus alternatives, no prerequisites, and no note on whether the result is filterable or cached. The agent must infer usage entirely from the tool name.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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