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Dev Thesportsdb

dev_thesportsdb
Read-only

TheSportsDB team search: up to 5 teams matching a name, with sport, league, formed year, stadium, country, website and English description. Community-maintained database; uses TheSportsDB's public test key unless the owner sets THESPORTSDB_KEY. Price: $0.002 in USDC per successful call, paid with x402 (Base, Solana or Arc); failed calls are not charged.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
teamYesTeam name to search for, 2 to 60 characters

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNo
queryNo
teamsNo
sourceNo
checkedAtNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior5/5

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

Beyond the readOnlyHint/openWorldHint annotations, the description discloses a hard result cap of 5, the specific fields returned, the data provenance (community-maintained), the credential model (public test key unless THESPORTSDB_KEY is set), and the billing rule that only successful calls cost $0.002. That is exactly the kind of context annotations alone cannot carry.

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

Conciseness4/5

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

Two sentences, purpose front-loaded, with the cap and returned fields stated before the operational caveats. The pricing sentence is longer than strictly necessary but every element (price, currency, networks, failure policy) is decision-relevant for an agent that must weigh cost.

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

Completeness4/5

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

An output schema exists, so return values need no explanation, and the description nonetheless previews the fields. Cost, auth, and result cap are all covered; only edge behavior (empty result sets, rate limits) is left unstated, which is a minor gap for a read-only lookup.

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 coverage is 100% with a single well-documented parameter, so the schema already carries the burden. The description adds only a mild implication of fuzzy name matching via "matching a name," which is the baseline expectation at full coverage.

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

Purpose4/5

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 ("TheSportsDB team search") and immediately bounds the result set ("up to 5 teams matching a name"), so an agent knows exactly what this returns. It does not name any sibling alternative, so it falls short of the 5 bar.

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

Usage Guidelines3/5

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

Usage is implied by the description — a name-based team lookup in a community-maintained sports database — but there is no explicit when-to-use guidance, no when-not guidance, and no pointer to alternatives among the many other sports siblings (ESPN, sofascore, fbref, etc.).

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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