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DanielTomaro13

sportsdata-mcp

list_tools_by_capability

Read-onlyIdempotent

Discover tools by capability slug to compare sports odds and stats across providers. Omit the slug to list every capability and its corresponding tools.

Instructions

Discover tools by capability — the unit of cross-provider comparison.

Given a slug like 'sport.event_markets', returns every enabled tool exposing it across providers. Pass no argument for the full capability → tools map.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
capabilityNoA capability slug, e.g. `sport.fixtures_by_date` or `stats.ladder`. Omit to list every capability with the tools that expose it.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, and idempotentHint, so the safety profile is covered. The description adds useful behavioral context: it returns only 'enabled' tools, works across providers, and the default no-argument behavior returns the full capability→tools map. This goes beyond the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and well-structured: a one-sentence purpose statement followed by a clear example and default behavior. Every sentence contributes value with no redundancy or fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the simple tool (one optional parameter, existing output schema, strong annotations), the description is complete. It covers both invocation modes (with and without the capability argument) and relies on the output schema for return details.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already provides full parameter documentation. The description only adds a different example slug ('sport.event_markets') and repeats the default behavior, which does not significantly enhance meaning beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: discovering tools by capability, with a specific verb ('returns') and resource ('every enabled tool exposing it across providers'). It distinguishes itself from sibling listing tools by focusing on capabilities and cross-provider comparison, which is unique.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context for when to use the tool: to find tools exposing a given capability or to list all capabilities. It gives a concrete example slug and explains the no-argument behavior, though it does not explicitly name alternatives or exclusions.

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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